Environment Inference for Invariant Learning

14 October 2020

Papers citing "Environment Inference for Invariant Learning"

33 / 83 papers shown

Title
Repeated Environment Inference for Invariant Learning Aayush Mishra Anqi Liu BDL OOD 19 0 0 26 Jul 2022
Equivariant and Invariant Grounding for Video Question Answering Yicong Li Xiang Wang Junbin Xiao Tat-Seng Chua 14 25 0 26 Jul 2022
Invariant Feature Learning for Generalized Long-Tailed Classification Kaihua Tang Mingyuan Tao Jiaxin Qi Zhenguang Liu Hanwang Zhang VLM 21 52 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 51 71 0 19 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness Michael Zhang Christopher Ré VLM 8 61 0 14 Jul 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 30 16 0 29 Jun 2022
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 19 20 0 29 Jun 2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis Ronan Perry Julius von Kügelgen Bernhard Schölkopf 41 48 0 04 Jun 2022
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization Dongsung Huh A. Baidya OOD 22 8 0 29 May 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 10 20 0 28 Apr 2022
Estimating Structural Disparities for Face Models Shervin Ardeshir Cristina Segalin Nathan Kallus CVBM 22 5 0 13 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 34 314 0 06 Apr 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha Kushal Kafle Christopher Kanan CML 25 13 0 05 Apr 2022
Invariance Learning based on Label Hierarchy S. Toyota Kenji Fukumizu OOD 19 1 0 29 Mar 2022
Robust Hybrid Learning With Expert Augmentation Antoine Wehenkel Jens Behrmann Hsiang Hsu Guillermo Sapiro Gilles Louppe and J. Jacobsen 21 8 0 08 Feb 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 93 223 0 30 Jan 2022
Towards Group Robustness in the presence of Partial Group Labels Vishnu Suresh Lokhande Kihyuk Sohn Jinsung Yoon Madeleine Udell Chen-Yu Lee Tomas Pfister OOD 29 11 0 10 Jan 2022
BARACK: Partially Supervised Group Robustness With Guarantees N. Sohoni Maziar Sanjabi Nicolas Ballas Aditya Grover Shaoliang Nie Hamed Firooz Christopher Ré OOD 12 24 0 31 Dec 2021
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Jackson Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 31 7 0 29 Dec 2021
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation Yeonsung Jung Hajin Shim J. Yang Eunho Yang 25 8 0 02 Dec 2021
Learning Invariant Representations with Missing Data Mark Goldstein J. Jacobsen O. Chau A. Saporta A. Puli Rajesh Ranganath Andrew C. Miller OOD 15 5 0 01 Dec 2021
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric P. Xing OOD 28 112 0 27 Nov 2021
Simple data balancing achieves competitive worst-group-accuracy Badr Youbi Idrissi Martín Arjovsky Mohammad Pezeshki David Lopez-Paz 28 173 0 27 Oct 2021
Focus on the Common Good: Group Distributional Robustness Follows Vihari Piratla Praneeth Netrapalli Sunita Sarawagi OOD 26 25 0 06 Oct 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 30 80 0 08 Sep 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 38 204 0 07 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 31 515 0 31 Aug 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen R. Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 21 22 0 27 Aug 2021
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 19 8 0 15 Jun 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 196 125 0 04 Jan 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 673 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016