Does Invariant Risk Minimization Capture Invariance?

4 January 2021

Papers citing "Does Invariant Risk Minimization Capture Invariance?"

50 / 99 papers shown

Title
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Praharsh Nanavati Ranjitha Prasad Karthikeyan Shanmugam OOD CML 66 0 0 29 Apr 2025
Towards LLMs Robustness to Changes in Prompt Format Styles Lilian Ngweta Kiran Kate Jason Tsay Yara Rizk AAML VLM 32 0 0 09 Apr 2025
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization Siqi Wang Aoming Liu Bryan A. Plummer OOD 36 0 0 03 Apr 2025
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families Louis McConnell OOD CML 45 0 0 06 Mar 2025
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing Jingyi Yang Xun Lin Zitong Yu L. Zhang X. Liu Hui Li Xiaochen Yuan Xiaochun Cao CVBM 34 0 0 01 Mar 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization Jiaqi Wang Yuhang Zhou Zhixiong Zhang Qiguang Chen Yongqiang Chen James Cheng OODD 55 1 0 18 Feb 2025
Achievable distributional robustness when the robust risk is only partially identified Julia Kostin Nicola Gnecco Fanny Yang 71 3 0 04 Feb 2025
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning Yihong Gu Cong Fang Peter Bühlmann Jianqing Fan CML OOD 67 2 0 31 Dec 2024
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 157 0 0 18 Dec 2024
Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective Zhenyu Wang Yifan Hu Peter Buhlmann Zijian Guo 89 1 0 16 Dec 2024
Functional worst risk minimization Philip Kennerberg Ernst C. Wit 79 0 0 30 Nov 2024
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning Haoliang Wang Chen Zhao Feng Chen 28 3 0 02 Nov 2024
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization Omar Montasser Han Shao Emmanuel Abbe OOD 39 1 0 30 Oct 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift Gina Wong Joshua Gleason Ramalingam Chellappa Yoav Wald Anqi Liu OOD 35 0 0 25 Jul 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 60 0 0 01 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 29 1 0 30 Jun 2024
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
Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhang Chujie Zhao Guanyu Chen Yizhou Jiang Feng Chen OOD MLT OODD 71 3 0 05 Jun 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation Min Zhang Haoxuan Li Fei Wu Kun Kuang OODD 21 12 0 30 Apr 2024
Domain Generalisation via Imprecise Learning Anurag Singh Siu Lun Chau S. Bouabid Krikamol Muandet AI4CE OOD 33 5 0 06 Apr 2024
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality Sai Li Linjun Zhang OOD FaML 64 1 0 02 Apr 2024
Enhancing Compositional Generalization via Compositional Feature Alignment Haoxiang Wang Haozhe Si Huajie Shao Han Zhao 34 1 0 05 Feb 2024
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach Ziliang Chen Yongsen Zheng Zhao-Rong Lai Quanlong Guan Liang Lin CML 26 1 0 15 Dec 2023
Invariance & Causal Representation Learning: Prospects and Limitations Simon Bing Jonas Wahl Urmi Ninad Jakob Runge CML OOD 36 3 0 06 Dec 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms Haoxiang Wang Gargi Balasubramaniam Haozhe Si Bo Li Han Zhao OOD 35 1 0 02 Nov 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 26 33 0 29 Oct 2023
Robust Learning via Conditional Prevalence Adjustment Minh Nguyen Alan Q. Wang Heejong Kim M. Sabuncu CML OOD 13 2 0 24 Oct 2023
Data Augmentations for Improved (Large) Language Model Generalization Amir Feder Yoav Wald Claudia Shi S. Saria David M. Blei OOD CML 21 7 0 19 Oct 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head Alan Q. Wang Minh Nguyen M. Sabuncu CML OOD 29 1 0 23 Sep 2023
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms Keru Wu Yuansi Chen Wooseok Ha Ting Yu CML 23 2 0 19 Sep 2023
Multi-dimensional domain generalization with low-rank structures Sai Li Linjun Zhang 30 2 0 18 Sep 2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning Yihua Zhang Prashant Khanduri Ioannis C. Tsaknakis Yuguang Yao Min-Fong Hong Sijia Liu AI4CE 36 25 0 01 Aug 2023
Out-of-Distribution Optimality of Invariant Risk Minimization S. Toyota Kenji Fukumizu OOD 15 0 0 22 Jul 2023
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity H. Aliee Ferdinand Kapl Soroor Hediyeh-zadeh Fabian J. Theis CML 20 6 0 02 Jul 2023
Survey of Trustworthy AI: A Meta Decision of AI Caesar Wu Yuan-Fang Li Pascal Bouvry 10 3 0 01 Jun 2023
Large-Scale Study of Temporal Shift in Health Insurance Claims Christina X. Ji Ahmed Alaa David Sontag AI4TS OOD 29 4 0 08 May 2023
PGrad: Learning Principal Gradients For Domain Generalization Zhe Wang J. E. Grigsby Yanjun Qi OOD 29 10 0 02 May 2023
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment Yiyou Sun Yaojie Liu Xiaoming Liu Yixuan Li Wen-Sheng Chu OOD CVBM 43 59 0 23 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 184 30 0 09 Mar 2023
Environment Invariant Linear Least Squares Jianqing Fan Cong Fang Yihong Gu Tong Zhang OOD 59 12 0 06 Mar 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions Yihua Zhang Pranay Sharma Parikshit Ram Min-Fong Hong Kush R. Varshney Sijia Liu 34 11 0 04 Mar 2023
Robust Meta Learning for Image based tasks Peng-Tao Jiang Xin Ke Zifeng Wang Chunxi Li OOD UQCV VLM 37 0 0 30 Jan 2023
Learning Optimal Features via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani L. Varshney OOD 19 2 0 28 Jan 2023
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 21 7 0 18 Dec 2022
Direct-Effect Risk Minimization for Domain Generalization Yuhui Li Zejia Wu Chao Zhang Hongyang R. Zhang OOD 31 0 0 26 Nov 2022
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Xueyang Tang Song Guo Jie M. Zhang FedML OODD OOD 26 3 0 21 Nov 2022
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui Qitian Wu Jiancan Wu Qing Cui Longfei Li An Zhang Xiang Wang Xiangnan He OOD 17 32 0 05 Nov 2022
FL Games: A Federated Learning Framework for Distribution Shifts Sharut Gupta Kartik Ahuja Mohammad Havaei N. Chatterjee Yoshua Bengio OOD FedML 13 18 0 31 Oct 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 24 0 0 28 Oct 2022
Trade-off between reconstruction loss and feature alignment for domain generalization Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 32 1 0 26 Oct 2022