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Environment Inference for Invariant Learning

14 October 2020

Papers citing "Environment Inference for Invariant Learning"

50 / 255 papers shown

Title
CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor Han Ji Yuqi Feng Jiahao Fan Yanan Sun OOD CML 69 0 0 04 Jun 2025
Exploring Explanations Improves the Robustness of In-Context Learning Ukyo Honda Tatsushi Oka LRM 65 0 0 03 Jun 2025
Data Heterogeneity Modeling for Trustworthy Machine Learning Jiashuo Liu Peng Cui 54 0 0 01 Jun 2025
NeuronTune: Towards Self-Guided Spurious Bias Mitigation Guangtao Zheng Wenqian Ye Aidong Zhang 33 0 0 29 May 2025
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Chenruo Liu Kenan Tang Yao Qin Qi Lei 38 0 0 28 May 2025
Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs Haoran Xin Ying Sun Chao Wang Yanke Yu Weijia Zhang Hui Xiong FaML 42 0 0 26 May 2025
An XAI-based Analysis of Shortcut Learning in Neural Networks Phuong Quynh Le Jorg Schlotterer Christin Seifert AAML 115 0 0 22 Apr 2025
Invariant Learning with Annotation-free Environments Phuong Quynh Le Christin Seifert Jorg Schlotterer OOD 36 0 0 22 Apr 2025
Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning Yonghui Yang Le Wu Yuxin Liao Zhuangzhuang He Pengyang Shao Richang Hong Meng Wang 87 1 0 14 Apr 2025
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers Lili Zhao Qi Liu Wei-neng Chen Lu Chen R.-H. Sun Min Hou Yang Wang Shijin Wang 140 0 0 14 Apr 2025
Severing Spurious Correlations with Data Pruning Varun Mulchandani Jung-Eun Kim 470 1 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 241 1 0 22 Mar 2025
Do regularization methods for shortcut mitigation work as intended? Haoyang Hong Ioanna Papanikolaou Sonali Parbhoo 70 1 0 21 Mar 2025
Gradient Extrapolation for Debiased Representation Learning Ihab Asaad M. Shadaydeh Joachim Denzler 83 0 0 17 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness B. Zhu Jiequan Cui Haiqi Zhang Chi Zhang 161 0 0 12 Mar 2025
Debiased Prompt Tuning in Vision-Language Model without Annotations Chaoquan Jiang Yunfan Yang Rui Hu Jitao Sang VLM 93 0 0 11 Mar 2025
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data Zengqun Zhao Ziquan Liu Yu Cao Shaogang Gong Ioannis Patras 100 0 0 07 Mar 2025
Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization Yuanchao Wang Zhao-Rong Lai Tianqi Zhong 124 1 0 27 Feb 2025
Invariance Pair-Guided Learning: Enhancing Robustness in Neural Networks Martin Surner Abdelmajid Khelil Ludwig Bothmann OOD 110 0 0 26 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 163 1 0 18 Feb 2025
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Song Wang Zhen Tan Yaochen Zhu Chuxu Zhang Wenlin Yao OOD 199 0 0 11 Feb 2025
Uncovering Memorization Effect in the Presence of Spurious Correlations Chenyu You Haocheng Dai Yifei Min Jasjeet Sekhon S. Joshi James S. Duncan 159 3 0 01 Jan 2025
Fairness without Demographics through Learning Graph of Gradients Yingtao Luo Zerui Li Qiang Liu Jun Zhu 168 0 0 31 Dec 2024
Invariant debiasing learning for recommendation via biased imputation Ting Bai Weijie Chen Cheng Yang C. Shi 518 2 0 28 Dec 2024
Empirical likelihood for Fréchet means on open books Karthik Bharath Huiling Le A. Wood Xi Yan 173 4 0 25 Dec 2024
Re-evaluating Group Robustness via Adaptive Class-Specific Scaling Seonguk Seo Bohyung Han 155 0 0 19 Dec 2024
The Pitfalls of Memorization: When Memorization Hurts Generalization Reza Bayat Mohammad Pezeshki Elvis Dohmatob David Lopez-Paz Pascal Vincent OOD 157 6 0 10 Dec 2024
Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders Parjanya Prashant Seyedeh Baharan Khatami Bruno Ribeiro Babak Salimi 176 1 0 29 Nov 2024
Curriculum-enhanced GroupDRO: Challenging the Norm of Avoiding Curriculum Learning in Subpopulation Shift Setups Antonio Barbalau 136 0 0 22 Nov 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models Maya Varma Jean-Benoit Delbrouck Zhihong Chen Akshay S. Chaudhari C. Langlotz VLM 116 9 0 06 Nov 2024
Mitigating Spurious Correlations via Disagreement Probability Hyeonggeun Han Sehwan Kim Hyungjun Joo Sangwoo Hong Jungwoo Lee 130 2 0 04 Nov 2024
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization Kai Jiang Chen Zhao Haoliang Wang Feng Chen OOD FedML 78 3 0 02 Nov 2024
Debiasify: Self-Distillation for Unsupervised Bias Mitigation Nourhan Bayasi Jamil Fayyad Ghassan Hamarneh Rafeef Garbi Homayoun Najjaran 116 0 0 01 Nov 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 Li Jundong Li Kaize Ding OOD 158 5 0 25 Oct 2024
WASP: A Weight-Space Approach to Detecting Learned Spuriousness Cristian Daniel Păduraru Antonio Bărbălău Radu Filipescu Andrei Liviu Nicolicioiu Elena Burceanu 70 0 0 24 Oct 2024
Debiasing Vison-Language Models with Text-Only Training Yunfan Yang Chaoquan Jiang Zhiyu Lin Jinlin Xiao Jiaming Zhang Jitao Sang VLM 78 1 0 12 Oct 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 89 0 0 07 Oct 2024
Learning to Balance: Diverse Normalization for Cloth-Changing Person Re-Identification Hongjun Wang Jiyuan Chen Zhengwei Yin Xuan Song Yinqiang Zheng CVBM 64 1 0 04 Oct 2024
Efficient Bias Mitigation Without Privileged Information Mateo Espinosa Zarlenga Swami Sankaranarayanan Jerone T. A. Andrews Z. Shams M. Jamnik Alice Xiang 126 3 0 26 Sep 2024
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization Nayeong Kim Juwon Kang Sungsoo Ahn Jungseul Ok Suha Kwak 62 1 0 05 Sep 2024
UnLearning from Experience to Avoid Spurious Correlations Jeff Mitchell Jesús Martínez del Rincón Niall McLaughlin 94 1 0 04 Sep 2024
Say My Name: a Model's Bias Discovery Framework Massimiliano Ciranni Luca Molinaro C. Barbano Attilio Fiandrotti Vittorio Murino Vito Paolo Pastore Enzo Tartaglione 95 3 0 18 Aug 2024
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously Dong Li Chen Zhao Minglai Shao Wenjun Wang OOD FaML 69 2 0 18 Aug 2024
On the KL-Divergence-based Robust Satisficing Model Haojie Yan Minglong Zhou Jiayi Guo 67 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 74 0 0 10 Aug 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 249 8 0 01 Aug 2024
Out of spuriousity: Improving robustness to spurious correlations without group annotations Phuong Quynh Le Jorg Schlotterer Christin Seifert CML OOD 65 2 0 20 Jul 2024
Improving Graph Out-of-distribution Generalization Beyond Causality Can Xu Yao Cheng Jianxiang Yu Haosen Wang Jingsong Lv Yao Liu Xiang Li OOD 172 0 0 14 Jul 2024
Empowering Graph Invariance Learning with Deep Spurious Infomax Tianjun Yao Yongqiang Chen Zhenhao Chen Kai Hu Zhiqiang Shen Kun Zhang OOD 119 9 0 13 Jul 2024
SLIM: Spuriousness Mitigation with Minimal Human Annotations Xiwei Xuan Ziquan Deng Hsuan-Tien Lin Kwan-Liu Ma 82 4 0 08 Jul 2024