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Out-of-distribution Prediction with Invariant Risk Minimization: The
  Limitation and An Effective Fix

Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix

16 January 2021
Ruocheng Guo
Pengchuan Zhang
Hao Liu
Emre Kıcıman
    OOD
ArXivPDFHTML

Papers citing "Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix"

14 / 14 papers shown
Title
Data Augmentations for Improved (Large) Language Model Generalization
Data Augmentations for Improved (Large) Language Model Generalization
Amir Feder
Yoav Wald
Claudia Shi
S. Saria
David M. Blei
OOD
CML
32
7
0
19 Oct 2023
Conditionally Invariant Representation Learning for Disentangling
  Cellular Heterogeneity
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity
H. Aliee
Ferdinand Kapl
Soroor Hediyeh-zadeh
Fabian J. Theis
CML
23
6
0
02 Jul 2023
Improving Domain Generalization with Domain Relations
Improving Domain Generalization with Domain Relations
Huaxiu Yao
Xinyu Yang
Xinyi Pan
Shengchao Liu
Pang Wei Koh
Chelsea Finn
OOD
AI4CE
52
8
0
06 Feb 2023
Fairness and robustness in anti-causal prediction
Fairness and robustness in anti-causal prediction
Maggie Makar
Alexander DÁmour
OOD
33
10
0
20 Sep 2022
Joint covariate-alignment and concept-alignment: a framework for domain
  generalization
Joint covariate-alignment and concept-alignment: a framework for domain generalization
Thuan Q. Nguyen
Boyang Lyu
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
OOD
24
4
0
01 Aug 2022
Optimization-based Causal Estimation from Heterogenous Environments
Optimization-based Causal Estimation from Heterogenous Environments
Mingzhang Yin
Yixin Wang
David M. Blei
OOD
82
17
0
24 Sep 2021
HCDG: A Hierarchical Consistency Framework for Domain Generalization on
  Medical Image Segmentation
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation
Yijun Yang
Shujun Wang
Lei Zhu
Lequan Yu
37
10
0
13 Sep 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution
  Generalization
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Alexandre Ramé
Corentin Dancette
Matthieu Cord
OOD
38
204
0
07 Sep 2021
Finding Valid Adjustments under Non-ignorability with Minimal DAG
  Knowledge
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge
Abhin Shah
Karthikeyan Shanmugam
Kartik Ahuja
CML
36
12
0
22 Jun 2021
Regularizing towards Causal Invariance: Linear Models with Proxies
Regularizing towards Causal Invariance: Linear Models with Proxies
Michael Oberst
Nikolaj Thams
J. Peters
David Sontag
OOD
30
23
0
03 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
54
1,170
0
02 Mar 2021
On Calibration and Out-of-domain Generalization
On Calibration and Out-of-domain Generalization
Yoav Wald
Amir Feder
D. Greenfeld
Uri Shalit
OODD
27
151
0
20 Feb 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
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