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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 / 1,407 papers shown
Title
Feature robustness and sex differences in medical imaging: a case study
  in MRI-based Alzheimer's disease detection
Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection
Eike Petersen
Aasa Feragen
Maria Luise da Costa Zemsch
A. Henriksen
Oskar Eiler Wiese Christensen
M. Ganz
OOD
24
27
0
04 Apr 2022
From Statistical to Causal Learning
From Statistical to Causal Learning
Bernhard Schölkopf
Julius von Kügelgen
CML
34
45
0
01 Apr 2022
Causal de Finetti: On the Identification of Invariant Causal Structure
  in Exchangeable Data
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
Siyuan Guo
V. Tóth
Bernhard Schölkopf
Ferenc Huszár
CML
25
35
0
29 Mar 2022
Invariance Learning based on Label Hierarchy
Invariance Learning based on Label Hierarchy
S. Toyota
Kenji Fukumizu
OOD
28
1
0
29 Mar 2022
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing
  Pooled Neuroimaging Datasets
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets
Vishnu Suresh Lokhande
Rudrasis Chakraborty
Sathya Ravi
Vikas Singh
26
4
0
29 Mar 2022
Understanding out-of-distribution accuracies through quantifying
  difficulty of test samples
Understanding out-of-distribution accuracies through quantifying difficulty of test samples
Berfin Simsek
Melissa Hall
Levent Sagun
31
5
0
28 Mar 2022
Core Risk Minimization using Salient ImageNet
Core Risk Minimization using Salient ImageNet
Sahil Singla
Mazda Moayeri
S. Feizi
38
14
0
28 Mar 2022
Towards Domain Generalization in Object Detection
Towards Domain Generalization in Object Detection
Xingxuan Zhang
Zekai Xu
Renzhe Xu
Jiashuo Liu
Peng Cui
Weitao Wan
Chong Sun
Chen Li
ObjD
OOD
28
21
0
27 Mar 2022
Local-Adaptive Face Recognition via Graph-based Meta-Clustering and
  Regularized Adaptation
Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation
Wenbin Zhu
Chien-Yi Wang
Kuan-Lun Tseng
S. Lai
Baoyuan Wang
CVBM
8
9
0
27 Mar 2022
Example-based Hypernetworks for Out-of-Distribution Generalization
Example-based Hypernetworks for Out-of-Distribution Generalization
Tomer Volk
Eyal Ben-David
Ohad Amosy
Gal Chechik
Roi Reichart
OOD
41
19
0
27 Mar 2022
Causality Inspired Representation Learning for Domain Generalization
Causality Inspired Representation Learning for Domain Generalization
Fangrui Lv
Jian Liang
Shuang Li
Bin Zang
Chi Harold Liu
Ziteng Wang
Di Liu
CML
OOD
43
163
0
27 Mar 2022
Rich Feature Construction for the Optimization-Generalization Dilemma
Rich Feature Construction for the Optimization-Generalization Dilemma
Jianyu Zhang
David Lopez-Paz
Léon Bottou
27
38
0
24 Mar 2022
Addressing Missing Sources with Adversarial Support-Matching
Addressing Missing Sources with Adversarial Support-Matching
T. Kehrenberg
Myles Bartlett
V. Sharmanska
Novi Quadrianto
13
1
0
24 Mar 2022
On the link between conscious function and general intelligence in
  humans and machines
On the link between conscious function and general intelligence in humans and machines
Arthur Juliani
Kai Arulkumaran
Shuntaro Sasai
Ryota Kanai
44
26
0
24 Mar 2022
Out-of-distribution Generalization with Causal Invariant Transformations
Out-of-distribution Generalization with Causal Invariant Transformations
Ruoyu Wang
Mingyang Yi
Zhitang Chen
Shengyu Zhu
OOD
OODD
35
56
0
22 Mar 2022
Domain Generalization by Mutual-Information Regularization with
  Pre-trained Models
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Junbum Cha
Kyungjae Lee
Sungrae Park
Sanghyuk Chun
OOD
37
131
0
21 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet
Kartik Ahuja
Mohammad Javad Darvishi Bayazi
Pooneh Mousavi
G. Dumas
Irina Rish
OOD
CML
AI4TS
37
29
0
18 Mar 2022
Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification
Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification
Luyang Luo
Dunyuan Xu
Hao Chen
T. Wong
Pheng-Ann Heng
CML
OOD
25
22
0
18 Mar 2022
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain
  Generalization and Beyond
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond
Yuzhe Yang
Hao Wang
Dina Katabi
AI4CE
25
39
0
17 Mar 2022
Improved Multi-label Classification under Temporal Concept Drift:
  Rethinking Group-Robust Algorithms in a Label-Wise Setting
Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting
Ilias Chalkidis
Anders Søgaard
OOD
AI4TS
14
29
0
15 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification
  Methods on Out-of-Domain Generalization and Adversarial Robustness
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
Tejas Gokhale
Swaroop Mishra
Man Luo
Bhavdeep Singh Sachdeva
Chitta Baral
52
29
0
15 Mar 2022
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text
  Processing
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing
Ilias Chalkidis
Tommaso Pasini
Shenmin Zhang
Letizia Tomada
Sebastian Felix Schwemer
Anders Søgaard
AILaw
42
54
0
14 Mar 2022
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time
  Series
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Christoffer Loeffler
Wei-Cheng Lai
Bjoern M. Eskofier
Dario Zanca
Lukas M. Schmidt
Christopher Mutschler
FAtt
AI4TS
40
5
0
14 Mar 2022
The worst of both worlds: A comparative analysis of errors in learning
  from data in psychology and machine learning
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
Jessica Hullman
Sayash Kapoor
Priyanka Nanayakkara
Andrew Gelman
Arvind Narayanan
38
39
0
12 Mar 2022
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive
  Learning Framework for Sentence Embeddings
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings
Haochen Tan
Wei Shao
Han Wu
Ke Yang
Linqi Song
30
17
0
11 Mar 2022
ZIN: When and How to Learn Invariance Without Environment Partition?
ZIN: When and How to Learn Invariance Without Environment Partition?
Yong Lin
Shengyu Zhu
Lu Tan
Peng Cui
OOD
CML
24
65
0
11 Mar 2022
Domain Generalisation for Object Detection under Covariate and Concept
  Shift
Domain Generalisation for Object Detection under Covariate and Concept Shift
Karthik Seemakurthy
E. Aptoula
Charles Fox
Petra Bosilj
ObjD
OOD
39
10
0
10 Mar 2022
Domain Generalization using Pretrained Models without Fine-tuning
Domain Generalization using Pretrained Models without Fine-tuning
Ziyue Li
Kan Ren
Xinyang Jiang
Yue Liu
Haipeng Zhang
Dongsheng Li
VLM
34
37
0
09 Mar 2022
The Impact of Differential Privacy on Group Disparity Mitigation
The Impact of Differential Privacy on Group Disparity Mitigation
Victor Petrén Bach Hansen
A. Neerkaje
Ramit Sawhney
Lucie Flek
Anders Søgaard
48
9
0
05 Mar 2022
Polarity Sampling: Quality and Diversity Control of Pre-Trained
  Generative Networks via Singular Values
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values
Ahmed Imtiaz Humayun
Randall Balestriero
Richard Baraniuk
24
31
0
03 Mar 2022
Translational Lung Imaging Analysis Through Disentangled Representations
Translational Lung Imaging Analysis Through Disentangled Representations
Pedro M. Gordaliza
J. J. Vaquero
A. Muñoz-Barrutia
MedIm
20
3
0
03 Mar 2022
BatchFormer: Learning to Explore Sample Relationships for Robust
  Representation Learning
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning
Zhi Hou
B. Yu
Dacheng Tao
ViT
52
59
0
03 Mar 2022
Continual Feature Selection: Spurious Features in Continual Learning
Continual Feature Selection: Spurious Features in Continual Learning
Timothée Lesort
CLL
43
10
0
02 Mar 2022
Towards IID representation learning and its application on biomedical
  data
Towards IID representation learning and its application on biomedical data
Jiqing Wu
I. Zlobec
Maxime W. Lafarge
Yukun He
V. Koelzer
OOD
CML
35
4
0
01 Mar 2022
Multi-Instance Causal Representation Learning for Instance Label
  Prediction and Out-of-Distribution Generalization
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
Weijia Zhang
Xuanhui Zhang
Hanwen Deng
Min-Ling Zhang
29
22
0
25 Feb 2022
Better Modelling Out-of-Distribution Regression on Distributed Acoustic
  Sensor Data Using Anchored Hidden State Mixup
Better Modelling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup
Hasan Asy’ari Arief
P. J. Thomas
T. Wiktorski
OOD
26
4
0
23 Feb 2022
Rethinking Machine Learning Robustness via its Link with the
  Out-of-Distribution Problem
Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem
Abderrahmen Amich
Birhanu Eshete
OOD
18
4
0
18 Feb 2022
Generalizable Information Theoretic Causal Representation
Generalizable Information Theoretic Causal Representation
Mengyue Yang
Xin-Qiang Cai
Furui Liu
Xu Chen
Zhitang Chen
Jianye Hao
Jun Wang
OOD
CML
37
1
0
17 Feb 2022
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious
  Correlations from a Feature Perspective
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective
Shihan Dou
Rui Zheng
Ting Wu
Songyang Gao
Junjie Shan
Qi Zhang
Yueming Wu
Xuanjing Huang
38
8
0
16 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey
Out-Of-Distribution Generalization on Graphs: A Survey
Haoyang Li
Xin Eric Wang
Ziwei Zhang
Wenwu Zhu
OOD
CML
41
97
0
16 Feb 2022
Disentangling Domain and Content
Disentangling Domain and Content
Dan-Andrei Iliescu
A. Mikhailiuk
Damon J. Wischik
Rafał K. Mantiuk
DRL
12
0
0
15 Feb 2022
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient
  for Out-of-Distribution Generalization
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization
Elan Rosenfeld
Pradeep Ravikumar
Andrej Risteski
OOD
28
79
0
14 Feb 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution
  Shifts and Training Conflicts
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Weixin Liang
James Zou
OOD
40
82
0
14 Feb 2022
Improving Molecular Representation Learning with Metric
  Learning-enhanced Optimal Transport
Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport
Fang Wu
Nicolas Courty
Shuting Jin
Stan Z. Li
OOD
OT
26
8
0
13 Feb 2022
Minimax Regret Optimization for Robust Machine Learning under
  Distribution Shift
Minimax Regret Optimization for Robust Machine Learning under Distribution Shift
Alekh Agarwal
Tong Zhang
OOD
6
29
0
11 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks
Understanding Rare Spurious Correlations in Neural Networks
Yao-Yuan Yang
Chi-Ning Chou
Kamalika Chaudhuri
AAML
34
25
0
10 Feb 2022
Agree to Disagree: Diversity through Disagreement for Better
  Transferability
Agree to Disagree: Diversity through Disagreement for Better Transferability
Matteo Pagliardini
Martin Jaggi
Franccois Fleuret
Sai Praneeth Karimireddy
28
70
0
09 Feb 2022
Generative multitask learning mitigates target-causing confounding
Generative multitask learning mitigates target-causing confounding
Taro Makino
Krzysztof J. Geras
Kyunghyun Cho
OOD
27
6
0
08 Feb 2022
CausPref: Causal Preference Learning for Out-of-Distribution
  Recommendation
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation
Yue He
Zimu Wang
Peng Cui
Hao Zou
Yafeng Zhang
Qiang Cui
Yong-jia Jiang
OOD
CML
OODD
30
54
0
08 Feb 2022
Robust Hybrid Learning With Expert Augmentation
Robust Hybrid Learning With Expert Augmentation
Antoine Wehenkel
Jens Behrmann
Hsiang Hsu
Guillermo Sapiro
Gilles Louppe and
J. Jacobsen
36
8
0
08 Feb 2022
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