Environment Inference for Invariant Learning

14 October 2020

Papers citing "Environment Inference for Invariant Learning"

50 / 83 papers shown

Title
Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning Yonghui Yang Le Wu Yuxin Liao Zhuangzhuang He Pengyang Shao Richang Hong Meng Wang 32 0 0 14 Apr 2025
Severing Spurious Correlations with Data Pruning Varun Mulchandani Jung-Eun Kim 133 0 0 24 Mar 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 55 0 0 22 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness B. Zhu Jiequan Cui H. Zhang Chi Zhang 83 0 0 12 Mar 2025
Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization Yuanchao Wang Zhao-Rong Lai Tianqi Zhong 69 1 0 27 Feb 2025
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations Chenyu You Haocheng Dai Yifei Min Jasjeet Sekhon S. Joshi James S. Duncan 60 2 0 01 Jan 2025
Invariant debiasing learning for recommendation via biased imputation Ting Bai Weijie Chen Cheng Yang C. Shi 123 1 0 28 Dec 2024
Empirical likelihood for Fréchet means on open books Karthik Bharath Huiling Le A. Wood Xi Yan 108 3 0 25 Dec 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 45 2 0 25 Oct 2024
UnLearning from Experience to Avoid Spurious Correlations Jeff Mitchell Jesús Martínez del Rincón Niall McLaughlin 36 0 0 04 Sep 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation Chu Zhao Enneng Yang Yuliang Liang Pengxiang Lan Yuting Liu Jianzhe Zhao Guibing Guo Xingwei Wang OOD DiffM CML 51 5 0 01 Aug 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
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 40 0 0 15 Jun 2024
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection Mu Wang 37 0 0 23 Apr 2024
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models Samuel Marks Can Rager Eric J. Michaud Yonatan Belinkov David Bau Aaron Mueller 44 111 0 28 Mar 2024
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning Gyudong Kim Mehdi Ghasemi Soroush Heidari Seungryong Kim Young Geun Kim S. Vrudhula Carole-Jean Wu 27 1 0 07 Mar 2024
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization Tianrui Jia Haoyang Li Cheng Yang Tao Tao Chuan Shi OOD 28 17 0 18 Dec 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
Continual Invariant Risk Minimization Francesco Alesiani Shujian Yu Mathias Niepert OOD 21 1 0 21 Oct 2023
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations? Phuong Quynh Le Jorg Schlotterer Christin Seifert OOD 16 6 0 01 Aug 2023
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn OOD 14 5 0 19 Jun 2023
Unprocessing Seven Years of Algorithmic Fairness André F. Cruz Moritz Hardt 29 10 0 12 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 28 7 0 25 May 2023
Conformal Inference for Invariant Risk Minimization Wenlu Tang Zicheng Liu 21 0 0 22 May 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization Ting Wu Rui Zheng Tao Gui Qi Zhang Xuanjing Huang 41 2 0 20 May 2023
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization Yingchun Wang Jingcai Guo Yi Liu Song Guo Weizhan Zhang Xiangyong Cao Qinghua Zheng AAML OODD 31 11 0 19 May 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks Lorenz Linhardt Klaus-Robert Muller G. Montavon AAML 21 7 0 12 Apr 2023
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning Yu Yang Besmira Nushi Hamid Palangi Baharan Mirzasoleiman 26 36 0 08 Apr 2023
Predictive Heterogeneity: Measures and Applications Jiashuo Liu Jiayun Wu B. Li Peng Cui 12 1 0 01 Apr 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang R. He 34 27 0 27 Mar 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 30 31 0 23 Mar 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 29 1 0 22 Feb 2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn VLM 24 9 0 10 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access A. Veldanda Ivan Brugere Sanghamitra Dutta Alan Mishler S. Garg 28 5 0 02 Feb 2023
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning Yingchun Wang Jingcai Guo Song Guo Weizhan Zhang Jiewei Zhang OODD 29 16 0 19 Dec 2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations Raghav Mehta Vítor Albiero Li Chen Ivan Evtimov Tamar Glaser Zhiheng Li Tal Hassner 26 17 0 12 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 21 2 0 01 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 38 10 0 01 Dec 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 13 5 0 28 Nov 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 17 10 0 28 Nov 2022
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Xueyang Tang Song Guo Jie M. Zhang FedML OODD OOD 36 3 0 21 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match Myles Bartlett Sara Romiti V. Sharmanska Novi Quadrianto 34 3 0 07 Nov 2022
Sufficient Invariant Learning for Distribution Shift Taero Kim Sungjun Lim Kyungwoo Song OOD 19 2 0 24 Oct 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee Annie S. Chen Fahim Tajwar Ananya Kumar Huaxiu Yao Percy Liang Chelsea Finn OOD 51 197 0 20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 29 116 0 20 Oct 2022
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles X. Ling Tal Arbel Boyu Wang Christian Gagné 37 37 0 19 Oct 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 37 27 0 20 Sep 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 29 10 0 20 Sep 2022
Artifact-Based Domain Generalization of Skin Lesion Models Alceu Bissoto Catarina Barata Eduardo Valle Sandra Avila MedIm AI4CE 33 13 0 20 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 34 1 0 03 Aug 2022