Invariant Information Bottleneck for Domain Generalization

Invariant Information Bottleneck for Domain Generalization

11 June 2021

Papers citing "Invariant Information Bottleneck for Domain Generalization"

14 / 64 papers shown

Title
Repeated Environment Inference for Invariant Learning Aayush Mishra Anqi Liu BDL OOD 16 0 0 26 Jul 2022
Domain Decorrelation with Potential Energy Ranking Sen Pei Jiaxi Sun Richard Yi Da Xu Shiming Xiang Gaofeng Meng OOD 21 4 0 25 Jul 2022
Causal Balancing for Domain Generalization Xinyi Wang Michael Stephen Saxon Jiachen Li Hongyang R. Zhang Kun Zhang William Yang Wang OOD CML 36 21 0 10 Jun 2022
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen A. Frikha Denis Krompass Jindong Gu Volker Tresp OOD 30 24 0 30 May 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery Haoxiang Wang Haozhe Si Bo-wen Li Han Zhao OOD 54 32 0 30 Jan 2022
Conditional entropy minimization principle for learning domain invariant representation features Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 24 7 0 25 Jan 2022
Optimal Representations for Covariate Shift Yangjun Ruan Yann Dubois Chris J. Maddison OOD 20 68 0 31 Dec 2021
Gated Information Bottleneck for Generalization in Sequential Environments Francesco Alesiani Shujian Yu Xi Yu OOD AAML 11 13 0 12 Oct 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 29 515 0 31 Aug 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 196 125 0 04 Jan 2021
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 201 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 215 901 0 02 Mar 2020
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation Sicheng Zhao Bo-wen Li Xiangyu Yue Pengfei Xu Kurt Keutzer OOD 40 64 0 19 Feb 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 279 9,136 0 06 Jun 2015