Recent Advances, Applications, and Open Challenges in Machine Learning
for Health: Reflections from Research Roundtables at ML4H 2023 Symposium

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium

3 March 2024

Hussein Mozannar

William Jongwon Han

Nikita Mehandru

Vladislav Lialin

Xin Liu

Alejandro Lozano

Rafal Kocielnik

Keith Harrigian

Milos Vukadinovic

Aparna Balagopalan

Vincent Jeanselme

Katherine Matton

Jason Alan Fries

Brett K. Beaulieu-Jones

Matthew B. A. McDermott

Tristan Naumann

Kristen W. Yeom

Marzyeh Ghassemi

Harvineet Singh

Chinasa T. Okolo

Papers citing "Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium"

3 / 3 papers shown

Title
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 38 82 0 07 Sep 2022
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation Alexandros Karargyris Renato Umeton Micah J. Sheller Alejandro Aristizabal Johnu George ... Poonam Yadav Michael Rosenthal M. Loda Jason M. Johnson Peter Mattson FedML 46 71 0 29 Sep 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 245 1,977 0 31 Dec 2020