ML4H Abstract Track 2020
Machine Learning
2020-11-24 v1
Authors:
Emily Alsentzer
, Matthew B. A. McDermott
, Fabian Falck
, Suproteem K. Sarkar
, Subhrajit Roy
, Stephanie L. Hyland
Abstract
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) workshop at NeurIPS 2020. This index is not complete, as some accepted abstracts chose to opt-out of inclusion.
Cite
@article{arxiv.2011.11554,
title = {ML4H Abstract Track 2020},
author = {Emily Alsentzer and Matthew B. A. McDermott and Fabian Falck and Suproteem K. Sarkar and Subhrajit Roy and Stephanie L. Hyland},
journal= {arXiv preprint arXiv:2011.11554},
year = {2020}
}
Related papers
View all related →
Machine Learning · Computer Science
ML4H Abstract Track 2019
Matthew B. A. McDermott, Emily Alsentzer, Sam Finlayson, Michael Oberst +4
2020-02-06
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
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones, Irene Chen +14
2018-11-28
Machine Learning · Computer Science
Machine Learning for Health symposium 2022 -- Extended Abstract track
Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen +3
2022-11-29
Machine Learning · Computer Science
Machine Learning for Health symposium 2024 -- Findings track
Stefan Hegselmann, Helen Zhou, Elizabeth Healey, Trenton Chang +5
2025-04-15
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
Machine Learning · Computer Science
Machine Learning for Health symposium 2023 -- Findings track
Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang +4
2023-12-18
Machine Learning · Computer Science
Proceedings of the NeurIPS 2021 Workshop on Machine Learning for the Developing World: Global Challenges
Paula Rodriguez Diaz, Tejumade Afonja, Konstantin Klemmer, Aya Salama +3
2023-01-11
Machine Learning · Computer Science
A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024
Dimitris Spathis, Aaqib Saeed, Ali Etemad, Sana Tonekaboni +5
2024-03-19
Computers and Society · Computer Science
Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D
Maria De-Arteaga, Tejumade Afonja, Amanda Coston
2020-04-13
Computer Vision and Pattern Recognition · Computer Science
Medical Imaging with Deep Learning: MIDL 2020 -- Short Paper Track
Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux +2
2020-07-07
Image and Video Processing · Electrical Eng. & Systems
Medical Imaging with Deep Learning: MIDL 2019 -- Extended Abstract Track
M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu +3
2019-07-23
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
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
Reproducibility in Machine Learning for Health
Matthew B. A. McDermott, Shirly Wang, Nikki Marinsek, Rajesh Ranganath +2
2019-07-03
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
Machine Learning · Computer Science
A collection of invited non-archival papers for the Conference on Health, Inference, and Learning (CHIL) 2022
Gerardo Flores, George H. Chen, Tom Pollard, Joyce C. Ho +1
2022-05-06
Artificial Intelligence · Computer Science
Proceedings of NeurIPS 2020 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response
Ritwik Gupta, Eric T. Heim, Edoardo Nemni
2020-12-09
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
Computation and Language · Computer Science
Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop
Afra Alishahi, Grzegorz Chrupała, Tal Linzen
2019-04-09
Artificial Intelligence · Computer Science
Proceedings of NeurIPS 2019 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response
Ritwik Gupta, Eric T. Heim
2020-12-04
Artificial Intelligence · Computer Science
Proceedings of AAAI 2019 Workshop on Network Interpretability for Deep Learning
Quanshi Zhang, Lixin Fan, Bolei Zhou
2020-07-30
Machine Learning · Computer Science
MLHOps: Machine Learning for Healthcare Operations
Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Elham Dolatabadi +3
2023-05-05
High Energy Physics - Phenomenology · Physics
Summary of the Workshop on Multi-Parton Interactions (MPI@LHC 2012)
H. Abramowicz, P. Bartalini, M. Baehr, N. Cartiglia +33
2013-07-02
Computation and Language · Computer Science
Towards Induction of Structured Phoneme Inventories
Alexander Gutkin, Martin Jansche, Lucy Skidmore
2020-10-14