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

Title
Causally Guided Gaussian Perturbations for Out-Of-Distribution Generalization in Medical Imaging Haoran Pei Yuguang Yang Kexin Liu Baochang Zhang OOD OODD CML MedIm 193 0 0 30 Sep 2025
Robust Invariant Representation Learning by Distribution Extrapolation Kotaro Yoshida Konstantinos Slavakis OOD 244 0 0 22 May 2025
Unsupervised Invariant Risk Minimization Yotam Norman Ron Meir OOD 241 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 374 5 0 10 Mar 2025
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 344 0 0 01 Jul 2024
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 222 2 0 14 Jun 2024
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 Changwen Zheng Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Jingyao Wang CML BDL VLM 434 1 0 24 May 2024
Domain Generalisation via Imprecise Learning Anurag Singh Siu Lun Chau S. Bouabid Krikamol Muandet AI4CE OOD 283 11 0 06 Apr 2024
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 382 1 0 20 Mar 2024
Specification Overfitting in Artificial IntelligenceArtificial Intelligence Review (Artif Intell Rev), 2024 Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 566 13 0 13 Mar 2024
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 S. Toyota Kenji Fukumizu OOD 222 1 0 22 Jul 2023
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 310 6 0 07 Jun 2023
Mind the Label Shift of Augmentation-based Graph OOD GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023 Junchi Yu Jian Liang Ran He 180 44 0 27 Mar 2023
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 383 8 0 15 Nov 2022
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 336 3 0 24 Oct 2022
PAC Generalization via Invariant RepresentationsInternational Conference on Machine Learning (ICML), 2022 Advait Parulekar Karthikeyan Shanmugam Sanjay Shakkottai 271 4 0 30 May 2022