Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach

15 December 2023

Papers citing "Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach"

33 / 33 papers shown

Title
Distribution Shift Inversion for Out-of-Distribution Prediction Runpeng Yu Songhua Liu Xingyi Yang Xinchao Wang OODD 80 19 0 14 Jun 2023
Meta-causal Learning for Single Domain Generalization Jin Chen Zhiqiang Gao Xinxiao Wu Jiebo Luo OOD 66 44 0 07 Apr 2023
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs R. Watson Hengrui Cai X. An S. Mclean Rui Song CML 42 2 0 29 Jan 2023
Cross-Domain Ensemble Distillation for Domain Generalization Kyung-Jin Lee Sungyeon Kim Suha Kwak FedML OOD 73 38 0 25 Nov 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 181 36 0 04 Jul 2022
Invariant Causal Mechanisms through Distribution Matching Mathieu Chevalley Charlotte Bunne Andreas Krause Stefan Bauer OOD CML 61 42 0 23 Jun 2022
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization Dongsung Huh A. Baidya OOD 58 8 0 29 May 2022
Causality Inspired Representation Learning for Domain Generalization Fangrui Lv Jian Liang Shuang Li Bin Zang Chi Harold Liu Ziteng Wang Di Liu CML OOD 111 174 0 27 Mar 2022
Out-of-distribution Generalization with Causal Invariant Transformations Ruoyu Wang Mingyang Yi Zhitang Chen Shengyu Zhu OOD OODD 70 60 0 22 Mar 2022
ZIN: When and How to Learn Invariance Without Environment Partition? Yong Lin Shengyu Zhu Lu Tan Peng Cui OOD CML 78 69 0 11 Mar 2022
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 155 535 0 31 Aug 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization Kartik Ahuja Ethan Caballero Dinghuai Zhang Jean-Christophe Gagnon-Audet Yoshua Bengio Ioannis Mitliagkas Irina Rish OOD 64 270 0 11 Jun 2021
Invariant Information Bottleneck for Domain Generalization Yue Liu Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 76 116 0 11 Jun 2021
Open Domain Generalization with Domain-Augmented Meta-Learning Yang Shu Zhangjie Cao Chenyu Wang Jianmin Wang Mingsheng Long OOD 63 166 0 08 Apr 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 249 1,233 0 02 Mar 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 277 128 0 04 Jan 2021
Understanding the Failure Modes of Out-of-Distribution Generalization Vaishnavh Nagarajan Anders Andreassen Behnam Neyshabur OOD OODD 71 177 0 29 Oct 2020
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 123 40 0 29 Oct 2020
The Risks of Invariant Risk Minimization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 91 312 0 12 Oct 2020
Heterogeneous Domain Generalization via Domain Mixup Yufei Wang Haoliang Li Alex C. Kot OOD 62 144 0 11 Sep 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 97 1,157 0 02 Jul 2020
Domain Generalization using Causal Matching Divyat Mahajan Shruti Tople Amit Sharma OOD 92 337 0 12 Jun 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 240 206 0 22 Mar 2020
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 328 943 0 02 Mar 2020
Invariant Risk Minimization Games Kartik Ahuja Karthikeyan Shanmugam Kush R. Varshney Amit Dhurandhar OOD 78 252 0 11 Feb 2020
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 198 2,246 0 05 Jul 2019
Domain Randomization for Scene-Specific Car Detection and Pose Estimation Rawal Khirodkar Donghyun Yoo Kris Kitani 3DPC 64 50 0 14 Nov 2018
Stable Prediction across Unknown Environments Kun Kuang Ruoxuan Xiong Peng Cui Susan Athey Bo Li OOD 91 167 0 16 Jun 2018
MINE: Mutual Information Neural Estimation Mohamed Ishmael Belghazi A. Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio Aaron Courville R. Devon Hjelm DRL 200 1,285 0 12 Jan 2018
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 130 1,728 0 01 Dec 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 390 9,524 0 28 May 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 124 974 0 06 Jan 2015