Heterogeneous Risk Minimization

9 May 2021

Jiashuo Liu

Zheyuan Hu

Peng Cui

Papers citing "Heterogeneous Risk Minimization"

50 / 78 papers shown

Title
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources Renzhe Xu Kun Wang Bo Li 41 0 0 12 May 2025
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Yiyuan Yang Guodong Long Dinesh Manocha Qinghua Lu Shanshan Ye Jing Jiang OODD 267 1 0 02 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 70 1 0 24 Apr 2025
Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization Yuanchao Wang Zhao-Rong Lai Tianqi Zhong 81 1 0 27 Feb 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 74 1 0 18 Feb 2025
Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective Zhenyu Wang Yifan Hu Peter Buhlmann Zijian Guo 115 1 0 16 Dec 2024
Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders Parjanya Prashant Seyedeh Baharan Khatami Bruno Ribeiro Babak Salimi 86 0 0 29 Nov 2024
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation Mahdi Ghaznavi Hesam Asadollahzadeh Fahimeh Hosseini Noohdani Soroush Vafaie Tabar Hosein Hasani Taha Akbari Alvanagh M. Rohban M. Baghshah 39 0 0 07 Oct 2024
On the KL-Divergence-based Robust Satisficing Model Haojie Yan Minglong Zhou Jiayi Guo 31 0 0 17 Aug 2024
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression Anpeng Wu Kun Kuang Ruoxuan Xiong Xiangwei Chen Zexu Sun Fei Wu Kun Zhang CML 30 0 0 10 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
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations Yuling Zhang Anpeng Wu Kun Kuang Liang Du Zixun Sun Zhi Wang OODD 40 2 0 03 Jul 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning Haoxin Liu Harshavardhan Kamarthi Lingkai Kong Zhiyuan Zhao Chao Zhang B. Aditya Prakash OODD OOD AI4TS 48 8 0 13 Jun 2024
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph Weihuang Zheng Jiashuo Liu Jiaxing Li Jiayun Wu Peng Cui Youyong Kong OOD 56 0 0 03 Jun 2024
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs Haoran Yang Xiaobing Pei Kai Yuan 38 0 0 02 Jun 2024
Invariant Risk Minimization Is A Total Variation Model Zhao-Rong Lai Wei-Wen Wang OOD 42 1 0 02 May 2024
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation Haoyue Bai Le Wu Min Hou Miaomiao Cai Zhuangzhuang He Yuyang Zhou Richang Hong Meng Wang 50 11 0 28 Apr 2024
STAT: Towards Generalizable Temporal Action Localization Yangcen Liu Ziyi Liu Yuanhao Zhai Wen Li David Doerman Junsong Yuan 36 2 0 20 Apr 2024
Domain Generalisation via Imprecise Learning Anurag Singh Siu Lun Chau S. Bouabid Krikamol Muandet AI4CE OOD 46 7 0 06 Apr 2024
Distributionally Generative Augmentation for Fair Facial Attribute Classification Fengda Zhang Qianpei He Kun Kuang Jiashuo Liu Long Chen Chao-Xiang Wu Jun Xiao Hanwang Zhang CVBM 44 8 0 11 Mar 2024
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness Yingtian Zou Kenji Kawaguchi Yingnan Liu Jiashuo Liu Mong Li Lee Wynne Hsu 53 5 0 11 Mar 2024
Domain Adversarial Active Learning for Domain Generalization Classification Jianting Chen Ling Ding Yunxiao Yang Zaiyuan Di Yang Xiang OOD 45 0 0 10 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization Han Yu Jiashuo Liu Xingxuan Zhang Jiayun Wu Peng Cui OOD 52 8 0 04 Mar 2024
Improving out-of-distribution generalization in graphs via hierarchical semantic environments Yinhua Piao Sangseon Lee Yijingxiu Lu Sun Kim OOD 44 2 0 04 Mar 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 41 6 0 26 Jan 2024
Revisiting Knowledge Distillation under Distribution Shift Songming Zhang Ziyu Lyu Xiaofeng Chen 34 1 0 25 Dec 2023
GROOD: Gradient-Aware Out-of-Distribution Detection Mostafa ElAraby Sabyasachi Sahoo Y. Pequignot Paul Novello Liam Paull 23 0 0 22 Dec 2023
Annotation-Free Group Robustness via Loss-Based Resampling Mahdi Ghaznavi Hesam Asadollahzadeh Hamidreza Yaghoubi Araghi Fahimeh Hosseini Noohdani M. Rohban M. Baghshah OOD 20 2 0 08 Dec 2023
Concept-wise Fine-tuning Matters in Preventing Negative Transfer Yunqiao Yang Long-Kai Huang Ying Wei 43 2 0 12 Nov 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 45 34 0 29 Oct 2023
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness Bhavya Vasudeva Kameron Shahabi Vatsal Sharan 35 3 0 09 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 43 13 0 22 Sep 2023
Environment Diversification with Multi-head Neural Network for Invariant Learning Bo-Wei Huang Keng-Te Liao Chang-Sheng Kao Shou-De Lin OOD 29 4 0 17 Aug 2023
Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang Haoxuan Li Qingsong Li Chunyuan Zheng Li Liu CML 27 11 0 09 Aug 2023
Topology-aware Robust Optimization for Out-of-distribution Generalization Fengchun Qiao Xi Peng 38 9 0 26 Jul 2023
Out-of-Distribution Optimality of Invariant Risk Minimization S. Toyota Kenji Fukumizu OOD 25 1 0 22 Jul 2023
A Causal Framework to Unify Common Domain Generalization Approaches N. Zhang Kaican Li Han Gao Weiyan Xie Zhi Lin Zechao Li Luning Wang Yongxiang Huang FedML OOD AI4CE 28 2 0 13 Jul 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization Xiner Li Shurui Gui Youzhi Luo Shuiwang Ji OODD OOD 30 10 0 13 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization Shurui Gui Meng Liu Xiner Li Youzhi Luo Shuiwang Ji CML OOD 33 24 0 01 Jun 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Yunze Tong Junkun Yuan Min Zhang Di-hua Zhu Keli Zhang Fei Wu Kun Kuang 38 7 0 25 May 2023
Rethinking the Evaluation Protocol of Domain Generalization Han Yu Xingxuan Zhang Renzhe Xu Jiashuo Liu Yue He Peng Cui OOD 35 7 0 24 May 2023
Exploring and Exploiting Data Heterogeneity in Recommendation Zimu Wang Jiashuo Liu Hao Zou Xingxuan Zhang Yue He Dongxu Liang Peng Cui 44 2 0 21 May 2023
Generalized Universal Domain Adaptation with Generative Flow Networks Didi Zhu Yinchuan Li Yunfeng Shao Jianye Hao Fei Wu Kun Kuang Jun Xiao Chao Wu AI4CE OOD 54 16 0 08 May 2023
Universal Domain Adaptation via Compressive Attention Matching Didi Zhu Yincuan Li Junkun Yuan Zexi Li Kun Kuang Chao Wu 47 17 0 24 Apr 2023
Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen Domains Min Xu Lingyun Qin Weijie Chen Shiliang Pu Lei Zhang OOD 19 29 0 06 Apr 2023
Predictive Heterogeneity: Measures and Applications Jiashuo Liu Jiayun Wu Yangqiu Song Peng Cui 34 1 0 01 Apr 2023
Robust Meta Learning for Image based tasks Peng-Tao Jiang Xin Ke Zifeng Wang Chunxi Li OOD UQCV VLM 68 0 0 30 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 44 61 0 24 Jan 2023
Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring Furkan Luleci F. Catbas 27 2 0 28 Dec 2022
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning Yingchun Wang Jingcai Guo Song Guo Weizhan Zhang Jiewei Zhang OODD 39 16 0 19 Dec 2022