Invariant Risk Minimization Games

11 February 2020

Kartik Ahuja

Karthikeyan Shanmugam

Papers citing "Invariant Risk Minimization Games"

50 / 173 papers shown

Title
Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang Haoxuan Li Qingsong Li Chunyuan Zheng Li Liu CML 22 11 0 09 Aug 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 44 25 0 01 Aug 2023
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation Haoyue Bai Ceyuan Yang Yinghao Xu Shueng-Han Gary Chan Bolei Zhou OODD 17 3 0 23 Jul 2023
Out-of-Distribution Optimality of Invariant Risk Minimization S. Toyota Kenji Fukumizu OOD 15 1 0 22 Jul 2023
Learning for Counterfactual Fairness from Observational Data Jing Ma Ruocheng Guo Aidong Zhang Jundong Li FaML 16 11 0 17 Jul 2023
MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning Zhehua Zhong Tianyi Chen Zhen Wang AAML 8 2 0 27 Jun 2023
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models Zeyu Zhou Ruqi Bai Sean Kulinski Murat Kocaoglu David I. Inouye CML 24 1 0 20 Jun 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection Haoyue Bai Gregory H. Canal Xuefeng Du Jeongyeol Kwon Robert D. Nowak Yixuan Li OODD 38 45 0 15 Jun 2023
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization Shuo Ye Shujian Yu W. Hou Yu Wang Xinge You OOD 16 10 0 08 Jun 2023
Federated Learning Games for Reconfigurable Intelligent Surfaces via Causal Representations Charbel Bou Chaaya S. Samarakoon M. Bennis OOD 22 0 0 02 Jun 2023
Survey of Trustworthy AI: A Meta Decision of AI Caesar Wu Yuan-Fang Li Pascal Bouvry 24 3 0 01 Jun 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Yangqiu Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 37 2 0 23 May 2023
Conformal Inference for Invariant Risk Minimization Wenlu Tang Zicheng Liu 29 0 0 22 May 2023
PGrad: Learning Principal Gradients For Domain Generalization Zhe Wang J. E. Grigsby Yanjun Qi OOD 29 10 0 02 May 2023
Leveraging sparse and shared feature activations for disentangled representation learning Marco Fumero F. Wenzel L. Zancato Alessandro Achille Emanuele Rodolà Stefano Soatto Bernhard Schölkopf Francesco Locatello OOD DRL 42 22 0 17 Apr 2023
A step towards the applicability of algorithms based on invariant causal learning on observational data Borja Guerrero Santillan CML OOD 16 1 0 05 Apr 2023
Masked Images Are Counterfactual Samples for Robust Fine-tuning Yao Xiao Ziyi Tang Pengxu Wei Cong Liu Liang Lin 49 16 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
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 39 23 0 14 Feb 2023
Learning Optimal Features via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani L. Varshney OOD 26 2 0 28 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang OODD 39 60 0 24 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
An Empirical Study on Multi-Domain Robust Semantic Segmentation Yajie Liu Pu Ge Qingjie Liu Shichao Fan Yunhong Wang 21 2 0 08 Dec 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 17 5 0 28 Nov 2022
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning Sébastien Lachapelle T. Deleu Divyat Mahajan Ioannis Mitliagkas Yoshua Bengio Simon Lacoste-Julien Quentin Bertrand 26 32 0 26 Nov 2022
Direct-Effect Risk Minimization for Domain Generalization Yuhui Li Zejia Wu Chao Zhang Hongyang R. Zhang OOD 37 0 0 26 Nov 2022
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Xueyang Tang Song Guo Jie Zhang FedML OODD OOD 36 3 0 21 Nov 2022
Decorr: Environment Partitioning for Invariant Learning and OOD Generalization Yufan Liao Qi Wu Zhaodi Wu Xing Yan 13 4 0 18 Nov 2022
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui Qitian Wu Jiancan Wu Daixin Wang Longfei Li An Zhang Xiang Wang Xiangnan He OOD 17 33 0 05 Nov 2022
FedGen: Generalizable Federated Learning for Sequential Data Praveen Venkateswaran Vatche Isahagian Vinod Muthusamy N. Venkatasubramanian OOD FedML 17 10 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 26 18 0 31 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 40 1 0 26 Oct 2022
Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis Yanan Xin Natasa Tagasovska Fernando Perez-Cruz Martin Raubal 35 10 0 18 Oct 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization Qishi Dong Muhammad Awais Fengwei Zhou Chuanlong Xie Tianyang Hu Yongxin Yang Sung-Ho Bae Zhenguo Li OODD VLM 39 14 0 17 Oct 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization Chaoqi Chen Luyao Tang Feng Liu Gangming Zhao Yue Huang Yizhou Yu 37 31 0 14 Oct 2022
Towards Out-of-Distribution Adversarial Robustness Adam Ibrahim Charles Guille-Escuret Ioannis Mitliagkas Irina Rish David M. Krueger P. Bashivan OOD 31 6 0 06 Oct 2022
Domain Generalization -- A Causal Perspective Paras Sheth Raha Moraffah K. S. Candan A. Raglin Huan Liu CML OOD 48 17 0 30 Sep 2022
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations Yilun Hao Ruinan Wang Zhangjie Cao Zihan Wang Yuchen Cui Dorsa Sadigh 29 2 0 16 Sep 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization Yuqing Wang Xiangxian Li Zhuang Qi Jingyu Li Xuelong Li Xiangxu Meng Lei Meng OOD OODD BDL 38 25 0 22 Aug 2022
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization Bin Deng Kui Jia OOD 20 1 0 16 Aug 2022
The Causal Structure of Domain Invariant Supervised Representation Learning Zihao Wang Victor Veitch CML OOD 16 3 0 15 Aug 2022
Joint covariate-alignment and concept-alignment: a framework for domain generalization Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 24 4 0 01 Aug 2022
Diversity Boosted Learning for Domain Generalization with Large Number of Domains Xinlin Leng Xiaoying Tang Yatao Bian AI4CE OOD 17 0 0 28 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data Tan Wang Qianru Sun Sugiri Pranata J. Karlekar Hanwang Zhang SSL 39 19 0 25 Jul 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 36 17 0 29 Jun 2022
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming Chuan Wen Jianing Qian Jierui Lin Jiaye Teng Dinesh Jayaraman Yang Gao AAML 26 17 0 22 Jun 2022
Enhancing Distributional Stability among Sub-populations Jiashuo Liu Jiayun Wu Jie Peng Xiaoyu Wu Zheyan Shen Yangqiu Song Peng Cui OOD 23 2 0 07 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 27 6 0 05 Jun 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 45 14 0 25 May 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation Ziniu Hu Zhe Zhao Xinyang Yi Tiansheng Yao Lichan Hong Yizhou Sun Ed H. Chi OOD LRM 93 29 0 19 May 2022