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Enforcing Predictive Invariance across Structured Biomedical Domains

Enforcing Predictive Invariance across Structured Biomedical Domains

6 June 2020
Wengong Jin
Regina Barzilay
Tommi Jaakkola
    OOD
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Papers citing "Enforcing Predictive Invariance across Structured Biomedical Domains"

11 / 11 papers shown
Title
Learning Optimal Features via Partial Invariance
Learning Optimal Features via Partial Invariance
Moulik Choraria
Ibtihal Ferwana
Ankur Mani
L. Varshney
OOD
26
2
0
28 Jan 2023
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Yuqing Wang
Xiangxian Li
Zhuang Qi
Jingyu Li
Xuelong Li
Xiangxu Meng
Lei Meng
OOD
OODD
BDL
38
25
0
22 Aug 2022
Domain Generalization for Vision-based Driving Trajectory Generation
Domain Generalization for Vision-based Driving Trajectory Generation
Yunkai Wang
Dongkun Zhang
Yuxiang Cui
Zexi Chen
Wei Jing
Junbo Chen
R. Xiong
Yue Wang
25
3
0
22 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CML
OOD
49
516
0
31 Aug 2021
Iterative Feature Matching: Toward Provable Domain Generalization with
  Logarithmic Environments
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments
Yining Chen
Elan Rosenfeld
Mark Sellke
Tengyu Ma
Andrej Risteski
OOD
26
32
0
18 Jun 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain Generalization
Bo-wen Li
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
32
105
0
11 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution
  Generalization?
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?
Dinghuai Zhang
Kartik Ahuja
Yilun Xu
Yisen Wang
Aaron Courville
OOD
20
95
0
05 Jun 2021
Causal Learning for Socially Responsible AI
Causal Learning for Socially Responsible AI
Lu Cheng
Ahmadreza Mosallanezhad
Paras Sheth
Huan Liu
71
13
0
25 Apr 2021
Invariant Rationalization
Invariant Rationalization
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
179
201
0
22 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
901
0
02 Mar 2020
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
172
1,775
0
02 Mar 2017
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