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Pareto Invariant Risk Minimization: Towards Mitigating the Optimization
  Dilemma in Out-of-Distribution Generalization
v1v2 (latest)

Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization

International Conference on Learning Representations (ICLR), 2022
15 June 2022
Yongqiang Chen
Kaiwen Zhou
Yatao Bian
Binghui Xie
Bing Wu
Yonggang Zhang
Kaili Ma
Han Yang
P. Zhao
Bo Han
James Cheng
    OODOODD
ArXiv (abs)PDFHTML

Papers citing "Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization"

18 / 18 papers shown
Causally Guided Gaussian Perturbations for Out-Of-Distribution Generalization in Medical Imaging
Causally Guided Gaussian Perturbations for Out-Of-Distribution Generalization in Medical Imaging
Haoran Pei
Yuguang Yang
Kexin Liu
Baochang Zhang
OODOODDCMLMedIm
204
0
0
30 Sep 2025
Robust Invariant Representation Learning by Distribution Extrapolation
Robust Invariant Representation Learning by Distribution Extrapolation
Kotaro Yoshida
Konstantinos Slavakis
OOD
244
0
0
22 May 2025
Unsupervised Invariant Risk Minimization
Unsupervised Invariant Risk Minimization
Yotam Norman
Ron Meir
OOD
257
0
0
18 May 2025
Group-robust Sample Reweighting for Subpopulation Shifts via Influence FunctionsInternational Conference on Learning Representations (ICLR), 2025
Rui Qiao
Zhaoxuan Wu
Jingtan Wang
Pang Wei Koh
Bryan Kian Hsiang Low
OOD
378
5
0
10 Mar 2025
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Gaojie Jin
Ronghui Mu
Xinping Yi
Xiaowei Huang
Lijun Zhang
345
0
0
01 Jul 2024
How Does Distribution Matching Help Domain Generalization: An
  Information-theoretic Analysis
How Does Distribution Matching Help Domain Generalization: An Information-theoretic AnalysisIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2024
Yuxin Dong
Tieliang Gong
Hong Chen
Shuangyong Song
Weizhan Zhang
Chen Li
OOD
226
2
0
14 Jun 2024
How Interpretable Are Interpretable Graph Neural Networks?
How Interpretable Are Interpretable Graph Neural Networks?
Yongqiang Chen
Yatao Bian
Bo Han
James Cheng
216
13
0
12 Jun 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
CMLBDLVLM
437
1
0
24 May 2024
Domain Generalisation via Imprecise Learning
Domain Generalisation via Imprecise Learning
Anurag Singh
Siu Lun Chau
S. Bouabid
Krikamol Muandet
AI4CEOOD
287
11
0
06 Apr 2024
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling
Xudong Sun
Nutan Chen
Alexej Gossmann
Yu Xing
Carla Feistner
...
Felix Drost
Daniele Scarcella
Lisa Beer
Carsten Marr
Carsten Marr
383
1
0
20 Mar 2024
Specification Overfitting in Artificial Intelligence
Specification Overfitting in Artificial IntelligenceArtificial Intelligence Review (Artif Intell Rev), 2024
Benjamin Roth
Pedro Henrique Luz de Araujo
Yuxi Xia
Saskia Kaltenbrunner
Christoph Korab
575
13
0
13 Mar 2024
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
Test-Time Domain Adaptation by Learning Domain-Aware Batch NormalizationAAAI Conference on Artificial Intelligence (AAAI), 2023
Yanan Wu
Zhixiang Chi
Yang Wang
Konstantinos N. Plataniotis
Songhe Feng
OOD
286
32
0
15 Dec 2023
Out-of-Distribution Optimality of Invariant Risk Minimization
Out-of-Distribution Optimality of Invariant Risk Minimization
S. Toyota
Kenji Fukumizu
OOD
225
1
0
22 Jul 2023
ContriMix: Scalable stain color augmentation for domain generalization
  without domain labels in digital pathology
ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology
Tan H. Nguyen
Dinkar Juyal
Jin Li
Aaditya (Adi) Prakash
Shima Nofallah
...
Michael Griffin
Anand Sampat
J. Abel
Justin Lee
A. Taylor-Weiner
MedIm
314
6
0
07 Jun 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization
Mind the Label Shift of Augmentation-based Graph OOD GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Junchi Yu
Jian Liang
Ran He
180
45
0
27 Mar 2023
Empirical Study on Optimizer Selection for Out-of-Distribution
  Generalization
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization
Hiroki Naganuma
Kartik Ahuja
S. Takagi
Tetsuya Motokawa
Rio Yokota
Kohta Ishikawa
I. Sato
Ioannis Mitliagkas
OOD
391
8
0
15 Nov 2022
Sufficient Invariant Learning for Distribution Shift
Sufficient Invariant Learning for Distribution ShiftComputer Vision and Pattern Recognition (CVPR), 2022
Taero Kim
Sungjun Lim
Kyungwoo Song
Yonghan Jung
Krikamol Muandet
Kyungwoo Song
OOD
360
3
0
24 Oct 2022
PAC Generalization via Invariant Representations
PAC Generalization via Invariant RepresentationsInternational Conference on Machine Learning (ICML), 2022
Advait Parulekar
Karthikeyan Shanmugam
Sanjay Shakkottai
271
4
0
30 May 2022
1