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Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
3 March 2024
Hyewon Jeong
Sarah Jabbour
Yuzhe Yang
Rahul Thapta
Hussein Mozannar
William Jongwon Han
Nikita Mehandru
Michael Wornow
Vladislav Lialin
Xin Liu
Alejandro Lozano
Jiacheng Zhu
Rafal Kocielnik
Keith Harrigian
Haoran Zhang
Edward H. Lee
Milos Vukadinovic
Aparna Balagopalan
Vincent Jeanselme
Katherine Matton
Ilker Demirel
Jason Alan Fries
Parisa Rashidi
Brett K. Beaulieu-Jones
X. Xu
Matthew B. A. McDermott
Tristan Naumann
Monica Agrawal
Marinka Zitnik
Berk Ustun
Edward Choi
Kristen W. Yeom
Gamze Gürsoy
Marzyeh Ghassemi
Emma Pierson
George H. Chen
S. Kanjilal
Michael Oberst
Linying Zhang
Harvineet Singh
Tom Hartvigsen
Helen Zhou
Chinasa T. Okolo
VLM
AI4TS
OOD
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Papers citing
"Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium"
23 / 23 papers shown
Title
Event-Based Contrastive Learning for Medical Time Series
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HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
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Michael Poli
Marjan Faizi
A. Thomas
Callum Birch-Sykes
...
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Yoshua Bengio
Stefano Ermon
S. Baccus
Christopher Ré
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27 Jun 2023
Multimodal learning with graphs
Yasha Ektefaie
George Dasoulas
Ayush Noori
Maha Farhat
Marinka Zitnik
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07 Sep 2022
Emergent Abilities of Large Language Models
Jason W. Wei
Yi Tay
Rishi Bommasani
Colin Raffel
Barret Zoph
...
Tatsunori Hashimoto
Oriol Vinyals
Percy Liang
J. Dean
W. Fedus
ELM
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LRM
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15 Jun 2022
When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction
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Marzyeh Ghassemi
Berk Ustun
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04 Jun 2022
Multimodal Learning on Graphs for Disease Relation Extraction
Yucong Lin
Keming Lu
Sheng Yu
Tianxi Cai
Marinka Zitnik
51
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16 Mar 2022
Variational Model Inversion Attacks
Kuan-Chieh Wang
Yanzhe Fu
Ke Li
Ashish Khisti
R. Zemel
Alireza Makhzani
MIACV
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26 Jan 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
84
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29 Sep 2021
Learning to Diversify for Single Domain Generalization
Zijian Wang
Yadan Luo
Ruihong Qiu
Zi Huang
Mahsa Baktash
100
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26 Aug 2021
Reading Race: AI Recognises Patient's Racial Identity In Medical Images
Imon Banerjee
A. Bhimireddy
J. L. Burns
Leo Anthony Celi
Li-Ching Chen
...
Hari M. Trivedi
Ryan Wang
Z. Zaiman
Haoran Zhang
J. Gichoya
67
337
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21 Jul 2021
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
131
555
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18 Feb 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
450
2,096
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31 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
183
1,434
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14 Dec 2020
The Risks of Invariant Risk Minimization
Elan Rosenfeld
Pradeep Ravikumar
Andrej Risteski
OOD
80
312
0
12 Oct 2020
Ethical Machine Learning in Health Care
Irene Y. Chen
Emma Pierson
Sherri Rose
Shalmali Joshi
Kadija Ferryman
Marzyeh Ghassemi
AILaw
72
386
0
22 Sep 2020
Knowledge Distillation in Deep Learning and its Applications
Abdolmaged Alkhulaifi
Fahad Alsahli
Irfan Ahmad
FedML
35
79
0
17 Jul 2020
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
79
1,149
0
02 Jul 2020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan
Ana Marasović
Swabha Swayamdipta
Kyle Lo
Iz Beltagy
Doug Downey
Noah A. Smith
VLM
AI4CE
CLL
152
2,428
0
23 Apr 2020
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
Shirly Wang
Matthew B. A. McDermott
Geeticka Chauhan
Michael C. Hughes
Tristan Naumann
Marzyeh Ghassemi
69
209
0
19 Jul 2019
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
189
2,229
0
05 Jul 2019
Confounding variables can degrade generalization performance of radiological deep learning models
J. Zech
Marcus A. Badgeley
Manway Liu
A. Costa
J. Titano
Eric K. Oermann
OOD
85
1,176
0
02 Jul 2018
DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning
B. Shickel
Tyler J. Loftus
Lasith Adhikari
T. Ozrazgat-Baslanti
A. Bihorac
Parisa Rashidi
65
133
0
28 Feb 2018
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
158
3,454
0
07 Oct 2016
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