Heterogeneous Risk Minimization

9 May 2021

Jiashuo Liu

Zheyuan Hu

Peng Cui

Papers citing "Heterogeneous Risk Minimization"

33 / 33 papers shown

Title
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources Renzhe Xu Kun Wang Bo Li 36 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 243 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 76 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 72 1 0 18 Feb 2025
Invariant Risk Minimization Is A Total Variation Model Zhao-Rong Lai Wei-Wen Wang OOD 42 1 0 02 May 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 39 6 0 26 Jan 2024
Revisiting Knowledge Distillation under Distribution Shift Songming Zhang Ziyu Lyu Xiaofeng Chen 32 1 0 25 Dec 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 40 34 0 29 Oct 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 36 7 0 25 May 2023
Exploring and Exploiting Data Heterogeneity in Recommendation Zimu Wang Jiashuo Liu Hao Zou Xingxuan Zhang Yue He Dongxu Liang Peng Cui 41 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 49 16 0 08 May 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 Bohao Li Peng Cui 30 1 0 01 Apr 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
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 37 16 0 19 Dec 2022
Stable Learning via Sparse Variable Independence Han Yu Peng Cui Yue He Zheyan Shen Yong Lin Renzhe Xu Xingxuan Zhang OOD 40 13 0 02 Dec 2022
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Xueyang Tang Song Guo Jie Zhang FedML OODD OOD 38 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 24 33 0 05 Nov 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 28 0 0 28 Oct 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
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 38 21 0 29 Jun 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 24 20 0 28 Apr 2022
Invariance Learning based on Label Hierarchy S. Toyota Kenji Fukumizu OOD 23 1 0 29 Mar 2022
Causality Inspired Representation Learning for Domain Generalization Fangrui Lv Jian Liang Shuang Li Bin Zang Chi Harold Liu Ziteng Wang Di Liu CML OOD 38 163 0 27 Mar 2022
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 47 205 0 07 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 61 519 0 31 Aug 2021
Causal Attention for Unbiased Visual Recognition Tan Wang Chan Zhou Qianru Sun Hanwang Zhang OOD CML 34 109 0 19 Aug 2021
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 32 8 0 15 Jun 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 152 372 0 09 May 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 202 201 0 22 Mar 2020