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2004.05007
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An Empirical Study of Invariant Risk Minimization
10 April 2020
Yo Joong Choe
Jiyeon Ham
Kyubyong Park
OOD
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Papers citing
"An Empirical Study of Invariant Risk Minimization"
34 / 34 papers shown
A Probabilistic Framework for Temporal Distribution Generalization in Industry-Scale Recommender Systems
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Cong Fu
Yabo Ni
Anxiang Zeng
Yuan Fang
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417
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0
26 Nov 2025
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing
Jingyi Yang
Xun Lin
Zitong Yu
Li Zhang
Xianglong Liu
Hui Li
Xiaochen Yuan
Simeng Qin
CVBM
424
2
0
01 Mar 2025
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule
European Conference on Artificial Intelligence (ECAI), 2024
Xuan Zhao
Klaus Broelemann
Salvatore Ruggieri
Gjergji Kasneci
314
1
0
26 Aug 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Gaojie Jin
Ronghui Mu
Xinping Yi
Xiaowei Huang
Lijun Zhang
420
1
0
01 Jul 2024
Disentangled Representations for Causal Cognition
Filippo Torresan
Manuel Baltieri
CML
311
4
0
30 Jun 2024
Domain Agnostic Conditional Invariant Predictions for Domain Generalization
Zongbin Wang
Bin Pan
Zhenwei Shi
OOD
243
0
0
09 Jun 2024
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality
Sai Li
Linjun Zhang
OOD
FaML
274
1
0
02 Apr 2024
Invariant Representation via Decoupling Style and Spurious Features from Images
Ruimeng Li
Yuanhao Pu
Zhaoyi Li
Hong Xie
Defu Lian
OOD
364
1
0
11 Dec 2023
Multi-dimensional domain generalization with low-rank structures
Journal of the American Statistical Association (JASA), 2023
Sai Li
Linjun Zhang
257
4
0
18 Sep 2023
Environment Diversification with Multi-head Neural Network for Invariant Learning
Neural Information Processing Systems (NeurIPS), 2023
Bo-Wei Huang
Keng-Te Liao
Chang-Sheng Kao
Shou-De Lin
OOD
197
5
0
17 Aug 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Yangqiu Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Yongfeng Zhang
Jennifer Foster
Yue Zhang
OOD
352
3
0
23 May 2023
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment
Computer Vision and Pattern Recognition (CVPR), 2023
Yiyou Sun
Yaojie Liu
Xiaoming Liu
Shouqing Yang
Wen-Sheng Chu
OOD
CVBM
264
97
0
23 Mar 2023
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
IEEE Communications Surveys and Tutorials (COMST), 2023
Mohamed Akrout
Amal Feriani
F. Bellili
A. Mezghani
Ekram Hossain
OOD
AI4CE
299
57
0
13 Mar 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
International Conference on Learning Representations (ICLR), 2023
Yihua Zhang
Pranay Sharma
Parikshit Ram
Min-Fong Hong
Kush R. Varshney
Sijia Liu
265
15
0
04 Mar 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
International Conference on Machine Learning (ICML), 2023
Xiao Zhou
Yong Lin
Renjie Pi
Weizhong Zhang
Renzhe Xu
Peng Cui
Tong Zhang
OODD
244
73
0
24 Jan 2023
FedGen: Generalizable Federated Learning for Sequential Data
IEEE International Conference on Cloud Computing (CLOUD), 2022
Praveen Venkateswaran
Vatche Isahagian
Vinod Muthusamy
N. Venkatasubramanian
OOD
FedML
226
15
0
03 Nov 2022
FL Games: A Federated Learning Framework for Distribution Shifts
Sharut Gupta
Kartik Ahuja
Mohammad Havaei
N. Chatterjee
Yoshua Bengio
OOD
FedML
376
23
0
31 Oct 2022
Bayesian Prompt Learning for Image-Language Model Generalization
IEEE International Conference on Computer Vision (ICCV), 2022
Mohammad Mahdi Derakhshani
Enrique Sanchez
Adrian Bulat
Victor G. Turrisi da Costa
Cees G. M. Snoek
Georgios Tzimiropoulos
Brais Martínez
VPVLM
VLM
538
65
0
05 Oct 2022
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation
Ziquan Liu
Yi Tian Xu
Yuanhong Xu
Qi Qian
Hao Li
Rong Jin
Xiangyang Ji
Antoni B. Chan
OOD
173
21
0
25 May 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
European Conference on Computer Vision (ECCV), 2022
Robik Shrestha
Kushal Kafle
Christopher Kanan
CML
465
17
0
05 Apr 2022
ZIN: When and How to Learn Invariance Without Environment Partition?
Neural Information Processing Systems (NeurIPS), 2022
Yong Lin
Shengyu Zhu
Lu Tan
Peng Cui
OOD
CML
376
81
0
11 Mar 2022
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions
IEEE Access (IEEE Access), 2022
Marwan Omar
Soohyeon Choi
Daehun Nyang
David A. Mohaisen
279
82
0
03 Jan 2022
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
677
164
0
15 Dec 2021
Contextualizing Meta-Learning via Learning to Decompose
Han-Jia Ye
Da-Wei Zhou
Lanqing Hong
Zhenguo Li
Xiu-Shen Wei
De-Chuan Zhan
246
9
0
15 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
International Conference on Machine Learning (ICML), 2021
Yujia Bao
Shiyu Chang
Regina Barzilay
216
22
0
26 May 2021
Causal Learning for Socially Responsible AI
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Lu Cheng
Ahmadreza Mosallanezhad
Paras Sheth
Huan Liu
396
15
0
25 Apr 2021
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles
International Conference on Autonomic and Autonomous Systems (ICAAS), 2021
Robik Shrestha
Jinkyu Lee
Kushal Kafle
S. Hwang
Il Yong Chun
209
13
0
01 Apr 2021
Meta-Learned Invariant Risk Minimization
Jun-Hyun Bae
Inchul Choi
Minho Lee
OOD
165
13
0
24 Mar 2021
An Empirical Framework for Domain Generalization in Clinical Settings
ACM Conference on Health, Inference, and Learning (CHIL), 2021
Haoran Zhang
Natalie Dullerud
Laleh Seyyed-Kalantari
Q. Morris
Shalmali Joshi
Marzyeh Ghassemi
OOD
AI4CE
321
69
0
20 Mar 2021
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems
Frontiers in Digital Health (FDH), 2021
U. Mahmood
Robik Shrestha
D. Bates
L. Mannelli
G. Corrias
Y. Erdi
Christopher Kanan
221
23
0
04 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Yongfeng Zhang
Cuiling Lan
Yu Xie
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
1.3K
1,665
0
02 Mar 2021
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification
Robert Adragna
Elliot Creager
David Madras
R. Zemel
OOD
FaML
281
46
0
12 Nov 2020
Risk Variance Penalization
Chuanlong Xie
Haotian Ye
Fei Chen
Yue Liu
Rui Sun
Zhenguo Li
452
36
0
13 Jun 2020
Unshuffling Data for Improved Generalization
IEEE International Conference on Computer Vision (ICCV), 2020
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
OOD
326
84
0
27 Feb 2020
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