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Environment Inference for Invariant Learning

14 October 2020

Papers citing "Environment Inference for Invariant Learning"

50 / 255 papers shown

Title
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 164 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 72 3 0 19 Jun 2024
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding Ukyo Honda Tatsushi Oka Peinan Zhang Masato Mita 90 1 0 17 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 103 3 0 15 Jun 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 95 13 0 13 Jun 2024
Domain Agnostic Conditional Invariant Predictions for Domain Generalization Zongbin Wang Bin Pan Zhenwei Shi OOD 69 0 0 09 Jun 2024
EMOE: Expansive Matching of Experts for Robust Uncertainty Based Rejection Yunni Qu James Wellnitz Alexander Tropsha Junier Oliva 89 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 113 0 0 02 Jun 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift Jiayun Wu Jiashuo Liu Peng Cui Zhiwei Steven Wu 66 3 0 02 Jun 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation Kimia Hamidieh Haoran Zhang Swami Sankaranarayanan Marzyeh Ghassemi 97 0 0 28 May 2024
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization Jiawei Ma Yulei Niu Shiyuan Huang G. Han Shih-Fu Chang VLM 86 1 0 28 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 Chawla Wenlin Yao 104 8 0 17 May 2024
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation Guangtao Zheng Wenqian Ye Aidong Zhang 72 7 0 06 May 2024
Invariant Risk Minimization Is A Total Variation Model Zhao-Rong Lai Wei-Wen Wang OOD 79 2 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 79 15 0 28 Apr 2024
Causally Inspired Regularization Enables Domain General Representations Olawale Salaudeen Oluwasanmi Koyejo OOD CML 68 2 0 25 Apr 2024
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection Mu Wang 102 0 0 23 Apr 2024
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference Yujin Han Difan Zou AAML 100 4 0 22 Apr 2024
A robust assessment for invariant representations Wenlu Tang Zicheng Liu OOD 74 0 0 07 Apr 2024
Diffexplainer: Towards Cross-modal Global Explanations with Diffusion Models M. Pennisi Giovanni Bellitto S. Palazzo Mubarak Shah C. Spampinato DiffM 49 0 0 03 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 173 159 0 28 Mar 2024
Debiasing surgeon: fantastic weights and how to find them Rémi Nahon Ivan Luiz De Moura Matos Van-Tam Nguyen Enzo Tartaglione 77 1 0 21 Mar 2024
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers Zeliang Zhang Mingqian Feng Zhiheng Li Chenliang Xu 101 10 0 19 Mar 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 67 8 0 11 Mar 2024
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation Zihao Tang Zheqi Lv Shengyu Zhang Yifan Zhou Xinyu Duan Leilei Gan Kun Kuang 78 1 0 11 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 119 2 0 07 Mar 2024
Improving out-of-distribution generalization in graphs via hierarchical semantic environments Yinhua Piao Sangseon Lee Yijingxiu Lu Sun Kim OOD 87 2 0 04 Mar 2024
Spurious Correlations in Machine Learning: A Survey Wenqian Ye Guangtao Zheng Xu Cao Yunsheng Ma Aidong Zhang OOD AAML CML 115 43 0 20 Feb 2024
Clarify: Improving Model Robustness With Natural Language Corrections Yoonho Lee Michelle S. Lam Helena Vasconcelos Michael S. Bernstein Chelsea Finn 80 7 0 06 Feb 2024
Supervised Algorithmic Fairness in Distribution Shifts: A Survey Minglai Shao Dong Li Chen Zhao Xintao Wu Yujie Lin Qin Tian OOD 104 11 0 02 Feb 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 86 6 0 26 Jan 2024
AutoFT: Learning an Objective for Robust Fine-Tuning Caroline Choi Yoonho Lee Annie S. Chen Allan Zhou Aditi Raghunathan Chelsea Finn OOD 111 0 0 18 Jan 2024
Enhancing Evolving Domain Generalization through Dynamic Latent Representations Binghui Xie Yongqiang Chen Jiaqi Wang Kaiwen Zhou Bo Han Wei Meng James Cheng 111 5 0 16 Jan 2024
Unraveling the Key Components of OOD Generalization via Diversification Harold Benoit Liangze Jiang Andrei Atanov Ouguzhan Fatih Kar Mattia Rigotti Amir Zamir CML 86 2 0 26 Dec 2023
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization Tianrui Jia Haoyang Li Cheng Yang Tao Tao Chuan Shi OOD 93 22 0 18 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 75 2 0 08 Dec 2023
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously Chengli Zhao Kai Jiang Xintao Wu Haoliang Wang Latifur Khan Christan Earl Grant Feng Chen OOD 71 4 0 23 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 91 22 0 18 Nov 2023
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering Jiazhi Li Mahyar Khayatkhoei Jiageng Zhu Hanchen Xie Mohamed E. Hussein Wael AbdAlmageed 55 2 0 13 Nov 2023
Invariant Causal Imitation Learning for Generalizable Policies Ioana Bica Daniel Jarrett Mihaela van der Schaar CML OffRL OOD 118 35 0 02 Nov 2023
Group Distributionally Robust Knowledge Distillation Konstantinos Vilouras Xiao Liu Pedro Sanchez Alison Q. OÑeil Sotirios A. Tsaftaris OOD 75 3 0 01 Nov 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 101 41 0 29 Oct 2023
Group Robust Classification Without Any Group Information Christos Tsirigotis João Monteiro Pau Rodríguez David Vazquez Aaron Courville OOD 89 23 0 28 Oct 2023
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization Zhuo Huang Muyang Li Li Shen Jun-chen Yu Chen Gong Bo Han Tongliang Liu OOD 118 11 0 25 Oct 2023
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning Shuoran Jiang Qingcai Chen Yang Xiang Youcheng Pan Xiangping Wu AI4CE 126 1 0 24 Oct 2023
Invariant Feature Regularization for Fair Face Recognition Jiali Ma Zhongqi Yue Tomoyuki Kagaya Tomoki Suzuki J. Karlekar Sugiri Pranata Hanwang Zhang 93 10 0 23 Oct 2023
Learning Invariant Molecular Representation in Latent Discrete Space Zhuang Xiang Qiang Zhang Keyan Ding Yatao Bian Xiao Wang Jingsong Lv Hongyang Chen Huajun Chen OOD 99 20 0 22 Oct 2023
Continual Invariant Risk Minimization Francesco Alesiani Shujian Yu Mathias Niepert OOD 82 1 0 21 Oct 2023
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning Rui Zheng Wei Shen Yuan Hua Wenbin Lai Shihan Dou ... Xiao Wang Haoran Huang Tao Gui Qi Zhang Xuanjing Huang 107 17 0 18 Oct 2023
Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss Jinye Yang Ji Xu Di Wu Jianhang Tang Shaobo Li Guoyin Wang 78 0 0 12 Oct 2023