Invariant Risk Minimization Games

11 February 2020

Kartik Ahuja

Karthikeyan Shanmugam

Papers citing "Invariant Risk Minimization Games"

50 / 172 papers shown

Title
(Im)possibility of Collective Intelligence Krikamol Muandet 27 6 0 20 May 2025
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Praharsh Nanavati Ranjitha Prasad Karthikeyan Shanmugam OOD CML 66 0 0 29 Apr 2025
Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization Yuanchao Wang Zhao-Rong Lai Tianqi Zhong 76 1 0 27 Feb 2025
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Song Wang Zhen Tan Yaochen Zhu Chuxu Zhang Jundong Li OOD 101 0 0 11 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
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts Haiyang Jiang Tong Chen W. Zhang Nguyen Quoc Viet Hung Yuan Yuan Yong Li Lizhen Cui OOD AI4TS 161 1 0 07 Dec 2024
Invariant Shape Representation Learning For Image Classification Tonmoy Hossain Jing Ma Jundong Li Miaomiao Zhang 75 2 0 19 Nov 2024
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification Xiaoxue Han Huzefa Rangwala Yue Ning BDL OOD CML 32 0 0 27 Oct 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng R. Li Jundong Li Kaize Ding OOD 47 2 0 25 Oct 2024
Fine-Tuning Pre-trained Language Models for Robust Causal Representation Learning Jialin Yu Yuxiang Zhou Yulan He Nevin L. Zhang Ricardo Silva 33 0 0 18 Oct 2024
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection Xinting Liao Weiming Liu Pengyang Zhou Fengyuan Yu Jiahe Xu Jun Wang Wenjie Wang Chaochao Chen Xiaolin Zheng FedML OODD 46 2 0 15 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection Haoyue Bai Jifan Zhang Robert Nowak 30 6 0 10 Oct 2024
Learning Causally Invariant Reward Functions from Diverse Demonstrations Ivan Ovinnikov Eugene Bykovets J. M. Buhmann CML 33 0 0 12 Sep 2024
Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis Xianbing Zhao Lizhen Qu Tao Feng Jianfei Cai Buzhou Tang 47 0 0 05 Sep 2024
Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning Boyu Chen Junjie Liu Zhu Li Mengyue yang 35 1 0 29 Aug 2024
Out-of-Distribution Learning with Human Feedback Haoyue Bai Xuefeng Du Katie Rainey Shibin Parameswaran Yixuan Li OODD 26 3 0 14 Aug 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift Gina Wong Joshua Gleason Ramalingam Chellappa Yoav Wald Anqi Liu OOD 43 0 0 25 Jul 2024
Empowering Graph Invariance Learning with Deep Spurious Infomax Tianjun Yao Yongqiang Chen Zhenhao Chen Kai Hu Zhiqiang Shen Kun Zhang OOD 37 6 0 13 Jul 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 67 0 0 01 Jul 2024
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes Yuchang Zhu Jintang Li Yatao Bian Zibin Zheng Liang Chen 36 2 0 19 Jun 2024
Revisiting Spurious Correlation in Domain Generalization Bin Qin Jiangmeng Li Yi Li Xuesong Wu Yupeng Wang Wenwen Qiang Jianwen Cao CML 44 1 0 17 Jun 2024
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs Haoran Yang Xiaobing Pei Kai Yuan 27 0 0 02 Jun 2024
Learning Invariant Causal Mechanism from Vision-Language Models Zeen Song Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Wenwen Qiang CML BDL VLM 39 0 0 24 May 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh V. Chawla Jundong Li 45 7 0 17 May 2024
Causally Inspired Regularization Enables Domain General Representations Olawale Salaudeen Oluwasanmi Koyejo OOD CML 25 1 0 25 Apr 2024
Functional Bilevel Optimization for Machine Learning Ieva Petrulionyte Julien Mairal Michael Arbel 51 2 0 29 Mar 2024
DeNetDM: Debiasing by Network Depth Modulation Silpa Vadakkeeveetil Sreelatha Adarsh Kappiyath Anjan Dutta 41 2 1 28 Mar 2024
On the Benefits of Over-parameterization for Out-of-Distribution Generalization Yifan Hao Yong Lin Difan Zou Tong Zhang OODD OOD 42 4 0 26 Mar 2024
Bridging Domains with Approximately Shared Features Ziliang Samuel Zhong Xiang Pan Qi Lei OOD 28 1 0 11 Mar 2024
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts Zeyang Zhang Xin Eric Wang Ziwei Zhang Zhou Qin Weigao Wen Hui Xue Haoyang Li Wenwu Zhu OOD 37 17 0 08 Mar 2024
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery Yang Chen Yitao Liang Zhouchen Lin OOD CML 36 0 0 29 Feb 2024
RORA: Robust Free-Text Rationale Evaluation Zhengping Jiang Yining Lu Hanjie Chen Daniel Khashabi Benjamin Van Durme Anqi Liu 45 1 0 28 Feb 2024
HYPO: Hyperspherical Out-of-Distribution Generalization Yifei Ming Haoyue Bai Julian Katz-Samuels Yixuan Li OODD OOD 37 9 0 12 Feb 2024
Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration Kotaro Yoshida Hiroki Naganuma 68 1 0 31 Jan 2024
The Adaptive Arms Race: Redefining Robustness in AI Security Ilias Tsingenopoulos Vera Rimmer Davy Preuveneers Fabio Pierazzi Lorenzo Cavallaro Wouter Joosen AAML 72 0 0 20 Dec 2023
GroupMixNorm Layer for Learning Fair Models Anubha Pandey Aditi Rai Maneet Singh Deepak L. Bhatt Tanmoy Bhowmik 19 0 0 19 Dec 2023
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach Ziliang Chen Yongsen Zheng Zhao-Rong Lai Quanlong Guan Liang Lin CML 31 1 0 15 Dec 2023
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction Zeyang Zhang Xingwang Li Fei Teng Ning Lin Xueling Zhu Xin Eric Wang Wenwu Zhu OOD 37 11 0 27 Nov 2023
Robust Domain Misinformation Detection via Multi-modal Feature Alignment Hui Liu Wenya Wang Hao Sun Anderson de Rezende Rocha Haoliang Li 41 11 0 24 Nov 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization Haonan Yuan Qingyun Sun Xingcheng Fu Ziwei Zhang Cheng Ji Hao Peng Jianxin Li OOD 25 16 0 18 Nov 2023
Invariant Causal Imitation Learning for Generalizable Policies Ioana Bica Daniel Jarrett Mihaela van der Schaar CML OffRL OOD 57 33 0 02 Nov 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
Continual Invariant Risk Minimization Francesco Alesiani Shujian Yu Mathias Niepert OOD 31 1 0 21 Oct 2023
Continuous Invariance Learning Yong Lin Fan Zhou Lu Tan Lintao Ma Jiameng Liu ... Yuan Yuan Yu Liu James Y. Zhang Yujiu Yang Hao Wang CLL OOD 39 3 0 09 Oct 2023
Activate and Reject: Towards Safe Domain Generalization under Category Shift Chaoqi Chen Luyao Tang Leitian Tao Hong-Yu Zhou Yue Huang Xiaoguang Han Yizhou Yu OOD 31 10 0 07 Oct 2023
Invariant Learning via Probability of Sufficient and Necessary Causes Mengyue Yang Zhen Fang Yonggang Zhang Yali Du Furui Liu Jean-François Ton Jianhong Wang Jun Wang OODD 37 13 0 22 Sep 2023
Context is Environment Sharut Gupta Stefanie Jegelka David Lopez-Paz Kartik Ahuja 35 0 0 18 Sep 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts Jiaheng Wei Harikrishna Narasimhan Ehsan Amid Wenjun Chu Yang Liu Abhishek Kumar OOD 47 16 0 16 Sep 2023
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges Fei Dou Jin Ye Geng Yuan Qin Lu Wei Niu ... Hongyue Sun Yunli Shao Changying Li Tianming Liu Wenzhan Song AI4CE 32 29 0 14 Sep 2023
Regularizing Adversarial Imitation Learning Using Causal Invariance Ivan Ovinnikov J. M. Buhmann CML 17 0 0 17 Aug 2023