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Environment Inference for Invariant Learning

14 October 2020

Papers citing "Environment Inference for Invariant Learning"

50 / 255 papers shown

Title
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness Bhavya Vasudeva Kameron Shahabi Vatsal Sharan 67 4 0 09 Oct 2023
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning Chengpeng Li Zheng Yuan Hongyi Yuan Guanting Dong Keming Lu Jiancan Wu Chuanqi Tan Xiang Wang Chang Zhou LRM 100 27 0 09 Oct 2023
Continuous Invariance Learning Yong Lin Fan Zhou Lu Tan Lintao Ma Jiameng Liu ... Yuan Yuan Yu Liu James Y. Zhang Yujiu Yang Hao Wang CLL OOD 80 4 0 09 Oct 2023
Quantifying and mitigating the impact of label errors on model disparity metrics Julius Adebayo Melissa Hall Bowen Yu Bobbie Chern 65 11 0 04 Oct 2023
Discovering environments with XRM Mohammad Pezeshki Diane Bouchacourt Mark Ibrahim Jimuyang Zhang Pascal Vincent David Lopez-Paz 95 19 0 28 Sep 2023
Towards Last-layer Retraining for Group Robustness with Fewer Annotations Tyler LaBonte Vidya Muthukumar Abhishek Kumar 104 42 0 15 Sep 2023
Bias Amplification Enhances Minority Group Performance Gaotang Li Jiarui Liu Wei Hu 87 8 0 13 Sep 2023
Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy A. Puli Lily H. Zhang Yoav Wald Rajesh Ranganath 59 19 0 24 Aug 2023
Environment Diversification with Multi-head Neural Network for Invariant Learning Bo-Wei Huang Keng-Te Liao Chang-Sheng Kao Shou-De Lin OOD 63 5 0 17 Aug 2023
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience Rongguang Wang G. Erus Pratik Chaudhari Christos Davatzikos OOD 77 4 0 06 Aug 2023
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations? Phuong Quynh Le Jorg Schlotterer Christin Seifert OOD 62 7 0 01 Aug 2023
Topology-aware Robust Optimization for Out-of-distribution Generalization Fengchun Qiao Xi Peng 79 11 0 26 Jul 2023
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model Rongqing Li Jiaqi Yu Changsheng Li Wenhan Luo Ye Yuan Guoren Wang MLAU 59 0 0 20 Jul 2023
Learning for Counterfactual Fairness from Observational Data Jing Ma Ruocheng Guo Aidong Zhang Jundong Li FaML 55 12 0 17 Jul 2023
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis Changjian Shui Justin Szeto Raghav Mehta Douglas L. Arnold Tal Arbel 47 5 0 04 Jul 2023
Challenges and Opportunities in Improving Worst-Group Generalization in Presence of Spurious Features S. Joshi Yu Yang Yihao Xue Wenhan Yang Baharan Mirzasoleiman 113 13 0 21 Jun 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 101 5 0 19 Jun 2023
Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes Abhinav Kumar Amit Deshpande Ajay Sharma CML 101 1 0 19 Jun 2023
Modularity Trumps Invariance for Compositional Robustness I. Mason Anirban Sarkar Tomotake Sasaki Xavier Boix OOD 91 1 0 15 Jun 2023
Unprocessing Seven Years of Algorithmic Fairness André F. Cruz Moritz Hardt 104 12 0 12 Jun 2023
Robust Learning with Progressive Data Expansion Against Spurious Correlation Yihe Deng Yu Yang Baharan Mirzasoleiman Quanquan Gu OOD MLT 89 29 0 08 Jun 2023
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization Shuo Ye Shujian Yu W. Hou Yu Wang Xinge You OOD 75 11 0 08 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 88 30 0 01 Jun 2023
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias Yu Yang Eric Gan Gintare Karolina Dziugaite Baharan Mirzasoleiman 81 28 0 30 May 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Yunze Tong Junkun Yuan Min Zhang Di-hua Zhu Keli Zhang Leilei Gan Kun Kuang 84 8 0 25 May 2023
IDEA: Invariant Defense for Graph Adversarial Robustness Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Bingbing Xu Xueqi Cheng AAML OOD 92 6 0 25 May 2023
Rethinking the Evaluation Protocol of Domain Generalization Han Yu Xingxuan Zhang Renzhe Xu Jiashuo Liu Yue He Peng Cui OOD 101 8 0 24 May 2023
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings Yihao Xue Ali Payani Yu Yang Baharan Mirzasoleiman VLM 107 4 0 23 May 2023
Conformal Inference for Invariant Risk Minimization Wenlu Tang Zicheng Liu 83 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 65 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 106 11 0 19 May 2023
Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues Alceu Bissoto Catarina Barata Eduardo Valle Sandra Avila OOD 51 4 0 09 May 2023
Mining bias-target Alignment from Voronoi Cells Rémi Nahon Van-Tam Nguyen Enzo Tartaglione 79 5 0 05 May 2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation Shirley Wu Mert Yuksekgonul Linjun Zhang James Zou 156 62 0 01 May 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks Lorenz Linhardt Klaus-Robert Muller G. Montavon AAML 109 8 0 12 Apr 2023
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning Yu Yang Besmira Nushi Hamid Palangi Baharan Mirzasoleiman 97 39 0 08 Apr 2023
Predictive Heterogeneity: Measures and Applications Jiashuo Liu Jiayun Wu Yangqiu Song Peng Cui 72 1 0 01 Apr 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 102 33 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 78 36 0 23 Mar 2023
Distributionally Robust Optimization with Probabilistic Group Soumya Suvra Ghosal Yixuan Li OOD 66 10 0 10 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 263 31 0 09 Mar 2023
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting An Zhang Fang Liu Wenchang Ma Zhibo Cai Xiang Wang Tat-Seng Chua CML 82 5 0 06 Mar 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 94 1 0 22 Feb 2023
In Search for a Generalizable Method for Source Free Domain Adaptation Malik Boudiaf Tom Denton B. V. Merrienboer Vincent Dumoulin Eleni Triantafillou TTA 85 19 0 13 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 75 5 0 11 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 88 11 0 10 Feb 2023
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts Amrith Rajagopal Setlur D. Dennis Benjamin Eysenbach Aditi Raghunathan Chelsea Finn Virginia Smith Sergey Levine OOD 62 11 0 06 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access A. Veldanda Ivan Brugere Sanghamitra Dutta Alan Mishler S. Garg 78 6 0 02 Feb 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing Yifan Zhang Xue Wang Jian Liang Zhang Zhang Liangsheng Wang Rong Jin Tien-Ping Tan 135 43 0 01 Feb 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve Rishabh Tiwari Pradeep Shenoy 148 22 0 30 Jan 2023