Machine Learning · Computer Science
Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience
Tejumade Afonja, Konstantin Klemmer, Aya Salama, Paula Rodriguez Diaz +2
2021-01-13
Computers and Society · Computer Science
Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact
Maria De-Arteaga, Amanda Coston, William Herlands
2019-02-20
Machine Learning · Computer Science
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones, Irene Chen +14
2018-11-28
Computers and Society · Computer Science
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop
Shagun Sodhani, Mayoore S. Jaiswal, Lauren Baker, Koustuv Sinha +4
2020-07-22
Computers and Society · Computer Science
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges
Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser +3
2024-02-08
Machine Learning · Statistics
Proceedings of the 5th Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI) at NIPS 2015
I. Rish, L. Wehbe, G. Langs, M. Grosse-Wentrup +2
2016-05-17
Artificial Intelligence · Computer Science
The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade
Enhong Liu, Joseph Suarez, Chenhui You, Bo Wu +19
2023-11-08
Machine Learning · Computer Science
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021
Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen +6
2021-12-02
Machine Learning · Computer Science
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapta +39
2024-04-08
Machine Learning · Computer Science
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière +4
2021-01-01
Machine Learning · Computer Science
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification
Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. Carvalho +16
2022-07-12
Computer Vision and Pattern Recognition · Computer Science
3rd Place Solution for NeurIPS 2021 Shifts Challenge: Vehicle Motion Prediction
Ching-Yu Tseng, Po-Shao Lin, Yu-Jia Liou, Kuan-Chih Huang +1
2022-01-19
Machine Learning · Computer Science
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium
Amin Adibi, Xu Cao, Zongliang Ji, Jivat Neet Kaur +38
2025-02-11
Computation and Language · Computer Science
The Massively Multilingual Natural Language Understanding 2022 (MMNLU-22) Workshop and Competition
Christopher Hench, Charith Peris, Jack FitzGerald, Kay Rottmann
2022-12-14
Machine Learning · Computer Science
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
Michael A. Hedderich, Benjamin Roth, Katharina Kann, Barbara Plank +2
2021-07-09