English
Related papers

Related papers: ML4H Abstract Track 2020

200 papers

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) workshop at NeurIPS 2019. This index is not complete, as some accepted abstracts chose to opt-out of inclusion.

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. This index is not complete, as some accepted abstracts chose to opt-out of inclusion.

This volume represents the accepted submissions from the Machine Learning for Health (ML4H) workshop at the conference on Neural Information Processing Systems (NeurIPS) 2018, held on December 8, 2018 in Montreal, Canada.

A collection of the extended abstracts that were presented at the 2nd Machine Learning for Health symposium (ML4H 2022), which was held both virtually and in person on November 28, 2022, in New Orleans, Louisiana, USA. Machine Learning for…

Machine Learning · Computer Science 2022-11-29 Antonio Parziale , Monica Agrawal , Shalmali Joshi , Irene Y. Chen , Shengpu Tang , Luis Oala , Adarsh Subbaswamy

A collection of the accepted Findings papers that were presented at the 4th Machine Learning for Health symposium (ML4H 2024), which was held on December 15-16, 2024, in Vancouver, BC, Canada. ML4H 2024 invited high-quality submissions…

These are the proceedings of the 4th workshop on Machine Learning for the Developing World (ML4D), held as part of the Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) on Saturday, December 12th 2020.

A collection of the accepted Findings papers that were presented at the 3rd Machine Learning for Health symposium (ML4H 2023), which was held on December 10, 2023, in New Orleans, Louisiana, USA. ML4H 2023 invited high-quality submissions…

These are the proceedings of the 5th workshop on Machine Learning for the Developing World (ML4D), held as part of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) on December 14th, 2021.

This non-archival index is not complete, as some accepted papers chose to opt-out of inclusion. The list of all accepted papers is available on the workshop website.

This is the proceedings of the 3rd ML4D workshop which was help in Vancouver, Canada on December 13, 2019 as part of the Neural Information Processing Systems conference.

Computers and Society · Computer Science 2020-04-13 Maria De-Arteaga , Tejumade Afonja , Amanda Coston

This compendium gathers all the accepted extended abstracts from the Third International Conference on Medical Imaging with Deep Learning (MIDL 2020), held in Montreal, Canada, 6-9 July 2020. Note that only accepted extended abstracts are…

Computer Vision and Pattern Recognition · Computer Science 2020-07-07 Tal Arbel , Ismail Ben Ayed , Marleen de Bruijne , Maxime Descoteaux , Herve Lombaert , Chris Pal

This compendium gathers all the accepted extended abstracts from the Second International Conference on Medical Imaging with Deep Learning (MIDL 2019), held in London, UK, 8-10 July 2019. Note that only accepted extended abstracts are…

Image and Video Processing · Electrical Eng. & Systems 2019-07-23 M. Jorge Cardoso , Aasa Feragen , Ben Glocker , Ender Konukoglu , Ipek Oguz , Gozde Unal , Tom Vercauteren

This report documents ideas for improving the field of machine learning, which arose from discussions at the ML Retrospectives workshop at NeurIPS 2019. The goal of the report is to disseminate these ideas more broadly, and in turn…

Computers and Society · Computer Science 2020-07-22 Shagun Sodhani , Mayoore S. Jaiswal , Lauren Baker , Koustuv Sinha , Carl Shneider , Peter Henderson , Joel Lehman , Ryan Lowe

Machine learning algorithms designed to characterize, monitor, and intervene on human health (ML4H) are expected to perform safely and reliably when operating at scale, potentially outside strict human supervision. This requirement warrants…

Machine Learning · Computer Science 2019-07-03 Matthew B. A. McDermott , Shirly Wang , Nikki Marinsek , Rajesh Ranganath , Marzyeh Ghassemi , Luca Foschini

A collection of invited non-archival papers for the Conference on Health, Inference, and Learning (CHIL) 2022. This index is incomplete as some authors of invited non-archival presentations opted not to include their papers in this index.

Machine Learning · Computer Science 2022-05-06 Gerardo Flores , George H. Chen , Tom Pollard , Joyce C. Ho , Tristan Naumann

These are the "proceedings" of the 2nd AI + HADR workshop which was held virtually on December 12, 2020 as part of the Neural Information Processing Systems conference. These are non-archival and merely serve as a way to collate all the…

Artificial Intelligence · Computer Science 2020-12-09 Ritwik Gupta , Eric T. Heim , Edoardo Nemni

This is the Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact, held in Montreal, Canada on December 8, 2018

Computers and Society · Computer Science 2019-02-20 Maria De-Arteaga , Amanda Coston , William Herlands

The EMNLP 2018 workshop BlackboxNLP was dedicated to resources and techniques specifically developed for analyzing and understanding the inner-workings and representations acquired by neural models of language. Approaches included:…

Computation and Language · Computer Science 2019-04-09 Afra Alishahi , Grzegorz Chrupała , Tal Linzen
‹ Prev 1 2 3 10 Next ›