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Invariant Risk Minimization

Invariant Risk Minimization

5 July 2019
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
    OOD
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Papers citing "Invariant Risk Minimization"

50 / 1,404 papers shown
Title
Autoencoder based approach for the mitigation of spurious correlations
Autoencoder based approach for the mitigation of spurious correlations
Srinitish Srinivasan
Karthik Seemakurthy
35
0
0
27 Jun 2024
Mind the Graph When Balancing Data for Fairness or Robustness
Mind the Graph When Balancing Data for Fairness or Robustness
Jessica Schrouff
Alexis Bellot
Amal Rannen-Triki
Alan Malek
Isabela Albuquerque
A. Gretton
Alexander DÁmour
Silvia Chiappa
OOD
CML
45
1
0
25 Jun 2024
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via
  Data Selection
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection
Saachi Jain
Kimia Hamidieh
Kristian Georgiev
Andrew Ilyas
Marzyeh Ghassemi
Aleksander Madry
37
2
0
24 Jun 2024
Learning Interpretable Fair Representations
Learning Interpretable Fair Representations
Tianhao Wang
Zana Buçinca
Zilin Ma
FaML
29
1
0
24 Jun 2024
When Invariant Representation Learning Meets Label Shift: Insufficiency
  and Theoretical Insights
When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights
You-Wei Luo
Chuan-Xian Ren
OOD
46
1
0
24 Jun 2024
Learning When the Concept Shifts: Confounding, Invariance, and Dimension
  Reduction
Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reduction
Kulunu Dharmakeerthi
Y. Hur
Tengyuan Liang
34
0
0
22 Jun 2024
PathoWAve: A Deep Learning-based Weight Averaging Method for Improving
  Domain Generalization in Histopathology Images
PathoWAve: A Deep Learning-based Weight Averaging Method for Improving Domain Generalization in Histopathology Images
Parastoo Sotoudeh Sharifi
M. Omair Ahmad
M. N. S. Swamy
MoMe
OOD
44
0
0
21 Jun 2024
Causal Inference with Latent Variables: Recent Advances and Future
  Prospectives
Causal Inference with Latent Variables: Recent Advances and Future Prospectives
Yaochen Zhu
Yinhan He
Jing Ma
Mengxuan Hu
Sheng Li
Jundong Li
CML
43
3
0
20 Jun 2024
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive
  Attributes
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes
Yuchang Zhu
Jintang Li
Yatao Bian
Zibin Zheng
Liang Chen
36
2
0
19 Jun 2024
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to
  Address Shortcut Shifts in Natural Language Understanding
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding
Ukyo Honda
Tatsushi Oka
Peinan Zhang
Masato Mita
49
1
0
17 Jun 2024
Revisiting Spurious Correlation in Domain Generalization
Revisiting Spurious Correlation in Domain Generalization
Bin Qin
Jiangmeng Li
Yi Li
Xuesong Wu
Yupeng Wang
Jingyao Wang
Jianwen Cao
CML
44
1
0
17 Jun 2024
Teleporter Theory: A General and Simple Approach for Modeling
  Cross-World Counterfactual Causality
Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality
Jiangmeng Li
Bin Qin
Qirui Ji
Yi Li
Jingyao Wang
Jianwen Cao
Fanjiang Xu
49
0
0
17 Jun 2024
Benchmarking Out-of-Distribution Generalization Capabilities of
  DNN-based Encoding Models for the Ventral Visual Cortex
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex
Spandan Madan
Will Xiao
Mingran Cao
Hanspeter Pfister
Margaret Livingstone
Gabriel Kreiman
OOD
66
4
0
16 Jun 2024
A Comprehensive Survey of Scientific Large Language Models and Their
  Applications in Scientific Discovery
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
Yu Zhang
Xiusi Chen
Bowen Jin
Sheng Wang
Shuiwang Ji
Wei Wang
Jiawei Han
44
27
0
16 Jun 2024
Comparison of fine-tuning strategies for transfer learning in medical
  image classification
Comparison of fine-tuning strategies for transfer learning in medical image classification
Ana Davila
Jacinto Colan
Yasuhisa Hasegawa
24
17
0
14 Jun 2024
How Does Distribution Matching Help Domain Generalization: An
  Information-theoretic Analysis
How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis
Yuxin Dong
Tieliang Gong
Hong Chen
Shuangyong Song
Weizhan Zhang
Chen Li
OOD
39
0
0
14 Jun 2024
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest
  Neighbors Label Spreading
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading
Nathan Stromberg
Rohan Ayyagari
Sanmi Koyejo
Richard Nock
Lalitha Sankar
46
0
0
13 Jun 2024
Scalable and Flexible Causal Discovery with an Efficient Test for
  Adjacency
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency
Alan Nawzad Amin
Andrew Gordon Wilson
CML
34
1
0
13 Jun 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using
  Invariant Learning
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
Haoxin Liu
Harshavardhan Kamarthi
Lingkai Kong
Zhiyuan Zhao
Chao Zhang
B. Aditya Prakash
OODD
OOD
AI4TS
46
8
0
13 Jun 2024
Introducing Diminutive Causal Structure into Graph Representation
  Learning
Introducing Diminutive Causal Structure into Graph Representation Learning
Hang Gao
Peng Qiao
Yifan Jin
Fengge Wu
Jiangmeng Li
Changwen Zheng
47
4
0
13 Jun 2024
Causality-inspired Latent Feature Augmentation for Single Domain
  Generalization
Causality-inspired Latent Feature Augmentation for Single Domain Generalization
Jian Xu
Chaojie Ji
Yankai Cao
Ye Li
Ruxin Wang
OOD
29
0
0
10 Jun 2024
Domain Generalization Guided by Large-Scale Pre-Trained Priors
Domain Generalization Guided by Large-Scale Pre-Trained Priors
Zongbin Wang
Bin Pan
Shiyu Shen
Tianyang Shi
Zhenwei Shi
AI4CE
26
0
0
09 Jun 2024
Domain Agnostic Conditional Invariant Predictions for Domain
  Generalization
Domain Agnostic Conditional Invariant Predictions for Domain Generalization
Zongbin Wang
Bin Pan
Zhenwei Shi
OOD
39
0
0
09 Jun 2024
Learning Divergence Fields for Shift-Robust Graph Representations
Learning Divergence Fields for Shift-Robust Graph Representations
Qitian Wu
Fan Nie
Chenxiao Yang
Junchi Yan
OOD
48
1
0
07 Jun 2024
Enhancing Size Generalization in Graph Neural Networks through
  Disentangled Representation Learning
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
Zheng Huang
Qihui Yang
Dawei Zhou
Yujun Yan
AI4CE
33
3
0
07 Jun 2024
Language-guided Detection and Mitigation of Unknown Dataset Bias
Language-guided Detection and Mitigation of Unknown Dataset Bias
Zaiying Zhao
Soichiro Kumano
Toshihiko Yamasaki
41
2
0
05 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang
Chujie Zhao
Guanyu Chen
Yizhou Jiang
Feng Chen
OOD
MLT
OODD
77
3
0
05 Jun 2024
Enhancing predictive imaging biomarker discovery through treatment
  effect analysis
Enhancing predictive imaging biomarker discovery through treatment effect analysis
Shuhan Xiao
Lukas Klein
Jens Petersen
Philipp Vollmuth
Paul F. Jaeger
Klaus H. Maier-Hein
32
0
0
04 Jun 2024
Position Debiasing Fine-Tuning for Causal Perception in Long-Term
  Dialogue
Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue
Shixuan Fan
Wei Wei
Wendi Li
Xian-Ling Mao
Wenfeng Xie
Dangyang Chen
98
1
0
04 Jun 2024
EMOE: Expansive Matching of Experts for Robust Uncertainty Based
  Rejection
EMOE: Expansive Matching of Experts for Robust Uncertainty Based Rejection
Yunni Qu
James Wellnitz
Alexander Tropsha
Junier Oliva
39
0
0
03 Jun 2024
Position: Cracking the Code of Cascading Disparity Towards Marginalized
  Communities
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
G. Farnadi
Mohammad Havaei
Negar Rostamzadeh
37
2
0
03 Jun 2024
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
Weihuang Zheng
Jiashuo Liu
Jiaxing Li
Jiayun Wu
Peng Cui
Youyong Kong
OOD
46
0
0
03 Jun 2024
IENE: Identifying and Extrapolating the Node Environment for
  Out-of-Distribution Generalization on Graphs
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs
Haoran Yang
Xiaobing Pei
Kai Yuan
29
0
0
02 Jun 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond
  Covariate Shift
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
Jiayun Wu
Jiashuo Liu
Peng Cui
Zhiwei Steven Wu
40
1
0
02 Jun 2024
Towards a Better Evaluation of Out-of-Domain Generalization
Towards a Better Evaluation of Out-of-Domain Generalization
Duhun Hwang
Suhyun Kang
Moonjung Eo
Jimyeong Kim
Wonjong Rhee
59
0
0
30 May 2024
Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift
Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift
Robi Bhattacharjee
Nick Rittler
Kamalika Chaudhuri
29
1
0
29 May 2024
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
Ruipeng Zhang
Ziqing Fan
Jiangchao Yao
Ya-Qin Zhang
Yanfeng Wang
38
7
0
29 May 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
Kimia Hamidieh
Haoran Zhang
Swami Sankaranarayanan
Marzyeh Ghassemi
49
0
0
28 May 2024
WIDIn: Wording Image for Domain-Invariant Representation in
  Single-Source Domain Generalization
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization
Jiawei Ma
Yulei Niu
Shiyuan Huang
G. Han
Shih-Fu Chang
VLM
42
1
0
28 May 2024
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD
  Training
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
Anchit Jain
Rozhin Nobahari
A. Baratin
Stefano Sarao Mannelli
36
4
0
28 May 2024
Understanding Inter-Concept Relationships in Concept-Based Models
Understanding Inter-Concept Relationships in Concept-Based Models
Naveen Raman
M. Zarlenga
M. Jamnik
27
4
0
28 May 2024
Graph Condensation for Open-World Graph Learning
Graph Condensation for Open-World Graph Learning
Xin Gao
Tong Chen
Wentao Zhang
Yayong Li
Xiangguo Sun
Hongzhi Yin
39
7
0
27 May 2024
Smoke and Mirrors in Causal Downstream Tasks
Smoke and Mirrors in Causal Downstream Tasks
Riccardo Cadei
Lukas Lindorfer
Sylvia Cremer
Cordelia Schmid
Francesco Locatello
CML
35
3
0
27 May 2024
Continuous Temporal Domain Generalization
Continuous Temporal Domain Generalization
Z. Cai
Guangji Bai
Renhe Jiang
Xuan Song
Liang Zhao
40
2
0
25 May 2024
Grounding Stylistic Domain Generalization with Quantitative Domain Shift
  Measures and Synthetic Scene Images
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images
Yiran Luo
Joshua Forster Feinglass
Tejas Gokhale
Kuan-Cheng Lee
Chitta Baral
Yezhou Yang
37
0
0
24 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models
Learning Invariant Causal Mechanism from Vision-Language Models
Changwen Zheng
Siyu Zhao
Xingyu Zhang
Jiangmeng Li
Changwen Zheng
Jingyao Wang
CML
BDL
VLM
42
0
0
24 May 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image
  Analysis
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
Yue Yang
Mona Gandhi
Yufei Wang
Yifan Wu
Michael S. Yao
Christopher Callison-Burch
James C. Gee
Mark Yatskar
58
3
0
23 May 2024
ChronosLex: Time-aware Incremental Training for Temporal Generalization
  of Legal Classification Tasks
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks
Santosh T.Y.S.S
Tuan-Quang Vuong
Matthias Grabmair
AILaw
CLL
53
4
0
23 May 2024
Quantile Activation: Correcting a Failure Mode of ML Models
Quantile Activation: Correcting a Failure Mode of ML Models
Aditya Challa
Sravan Danda
Laurent Najman
Snehanshu Saha
UQCV
36
0
0
19 May 2024
Safety in Graph Machine Learning: Threats and Safeguards
Safety in Graph Machine Learning: Threats and Safeguards
Song Wang
Yushun Dong
Binchi Zhang
Zihan Chen
Xingbo Fu
Yinhan He
Cong Shen
Chuxu Zhang
Nitesh V. Chawla
Wenlin Yao
45
7
0
17 May 2024
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