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Environment Inference for Invariant Learning

14 October 2020

Papers citing "Environment Inference for Invariant Learning"

50 / 255 papers shown

Title
Robust Meta Learning for Image based tasks Peng-Tao Jiang Xin Ke Zifeng Wang Chunxi Li OOD UQCV VLM 219 0 0 30 Jan 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 103 17 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 74 17 0 12 Dec 2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others Zhiheng Li Ivan Evtimov Albert Gordo C. Hazirbas Tal Hassner Cristian Canton Ferrer Chenliang Xu Mark Ibrahim 86 78 0 09 Dec 2022
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling J. Nam Sangwoo Mo Jaeho Lee Jinwoo Shin 96 7 0 05 Dec 2022
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization Bhargavi Paranjape Pradeep Dasigi Vivek Srikumar Luke Zettlemoyer Hannaneh Hajishirzi 98 8 0 02 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 85 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 134 10 0 01 Dec 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 113 7 0 28 Nov 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 78 12 0 28 Nov 2022
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Xueyang Tang Song Guo Jie Zhang FedML OODD OOD 127 4 0 21 Nov 2022
Decorr: Environment Partitioning for Invariant Learning and OOD Generalization Yufan Liao Qi Wu Zhaodi Wu Xing Yan 82 4 0 18 Nov 2022
Learning with Noisy Labels over Imbalanced Subpopulations Mingcai Chen Yu Zhao Bing He Zongbo Han Bingzhe Wu Jianhua Yao 71 9 0 16 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match Myles Bartlett Sara Romiti V. Sharmanska Novi Quadrianto 83 3 0 07 Nov 2022
Sufficient Invariant Learning for Distribution Shift Taero Kim Sungjun Lim Kyungwoo Song OOD 79 2 0 24 Oct 2022
Just Mix Once: Worst-group Generalization by Group Interpolation Giorgio Giannone Serhii Havrylov Jordan Massiah Emine Yilmaz Yunlong Jiao 85 2 0 21 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 137 214 0 20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 127 129 0 20 Oct 2022
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles Ling Tal Arbel Boyu Wang Christian Gagné 113 39 0 19 Oct 2022
Perceptual Grouping in Contrastive Vision-Language Models Kanchana Ranasinghe Brandon McKinzie S. S. Ravi Yinfei Yang Alexander Toshev Jonathon Shlens VLM 131 55 0 18 Oct 2022
Outlier-Robust Group Inference via Gradient Space Clustering Yuchen Zeng Kristjan Greenewald Kangwook Lee Justin Solomon Mikhail Yurochkin 48 2 0 13 Oct 2022
Time Will Change Things: An Empirical Study on Dynamic Language Understanding in Social Media Classification Yuji Zhang Jing Li 81 5 0 06 Oct 2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation A. Puli Nitish Joshi Yoav Wald Hera Y. He Rajesh Ranganath 98 17 0 04 Oct 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 129 28 0 20 Sep 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 102 12 0 20 Sep 2022
Take One Gram of Neural Features, Get Enhanced Group Robustness Simon Roburin Charles Corbière Gilles Puy Nicolas Thome Matthieu Aubry Renaud Marlet Patrick Pérez OOD 76 0 0 26 Aug 2022
Artifact-Based Domain Generalization of Skin Lesion Models Alceu Bissoto Catarina Barata Eduardo Valle Sandra Avila MedIm AI4CE 77 13 0 20 Aug 2022
Background Invariance Testing According to Semantic Proximity Zukang Liao Pengfei Zhang Min Chen 57 0 0 19 Aug 2022
RealPatch: A Statistical Matching Framework for Model Patching with Real Samples Sara Romiti C. Inskip V. Sharmanska Novi Quadrianto 68 2 0 03 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 83 1 0 03 Aug 2022
Exploring Generalizable Distillation for Efficient Medical Image Segmentation Xingqun Qi Zhuo Wu Min Ren Muyi Sun Caifeng Shan Zhe Sun 96 3 0 26 Jul 2022
Repeated Environment Inference for Invariant Learning Aayush Mishra Anqi Liu BDL OOD 97 0 0 26 Jul 2022
Equivariant and Invariant Grounding for Video Question Answering Yicong Li Xiang Wang Junbin Xiao Tat-Seng Chua 94 27 0 26 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data Tan Wang Qianru Sun Sugiri Pranata J. Karlekar Hanwang Zhang SSL 100 21 0 25 Jul 2022
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks Zhiheng Li A. Hoogs Chenliang Xu 83 55 0 20 Jul 2022
Measuring and signing fairness as performance under multiple stakeholder distributions David Lopez-Paz Diane Bouchacourt Levent Sagun Nicolas Usunier 72 7 0 20 Jul 2022
Invariant Feature Learning for Generalized Long-Tailed Classification Kaihua Tang Mingyuan Tao Jiaxin Qi Zhenguang Liu Hanwang Zhang VLM 96 56 0 19 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 143 76 0 19 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness Michael Zhang Christopher Ré VLM 54 64 0 14 Jul 2022
Breaking Correlation Shift via Conditional Invariant Regularizer Mingyang Yi Ruoyu Wang Jiacheng Sun Zhenguo Li Zhi-Ming Ma OODD 93 5 0 14 Jul 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 88 18 0 29 Jun 2022
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 90 22 0 29 Jun 2022
Learning Debiased Classifier with Biased Committee Nayeong Kim Sehyun Hwang SungSoo Ahn Jaesik Park Suha Kwak CML 122 57 0 22 Jun 2022
Learning Fair Representation via Distributional Contrastive Disentanglement Changdae Oh Heeji Won Junhyuk So Taero Kim Yewon Kim Hosik Choi Kyungwoo Song FaML CoGe CML DRL 69 42 0 17 Jun 2022
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization Yongqiang Chen Kaiwen Zhou Yatao Bian Binghui Xie Bing Wu ... Kaili Ma Han Yang P. Zhao Bo Han James Cheng OOD OODD 82 36 0 15 Jun 2022
Invariant Structure Learning for Better Generalization and Causal Explainability Yunhao Ge Sercan O. Arik Jinsung Yoon Ao Xu Laurent Itti Tomas Pfister OOD CML 51 2 0 13 Jun 2022
Enhancing Distributional Stability among Sub-populations Jiashuo Liu Jiayun Wu Jie Peng Xiaoyu Wu Zheyan Shen Yangqiu Song Peng Cui OOD 57 3 0 07 Jun 2022
Invariant Grounding for Video Question Answering Yicong Li Xiang Wang Junbin Xiao Wei Ji Tat-Seng Chua OOD 79 99 0 06 Jun 2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis Ronan Perry Julius von Kügelgen Bernhard Schölkopf 103 50 0 04 Jun 2022
Mitigating Dataset Bias by Using Per-sample Gradient Sumyeong Ahn Seongyoon Kim Se-Young Yun 105 22 0 31 May 2022