Invariant Information Bottleneck for Domain Generalization

11 June 2021

Papers citing "Invariant Information Bottleneck for Domain Generalization"

20 / 20 papers shown

Title
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 62 1 0 24 Apr 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 133 0 0 18 Dec 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization Wenyu Mao Jiancan Wu Haoyang Liu Yongduo Sui Xiang Wang OOD 37 2 0 03 Aug 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization Guanglin Zhou Zhongyi Han Shiming Chen Biwei Huang Liming Zhu Tongliang Liu Lina Yao Kun Zhang 32 3 0 18 Jan 2024
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 39 5 0 20 Oct 2023
Diverse Target and Contribution Scheduling for Domain Generalization Shaocong Long Qianyu Zhou Soham Dan Lizhuang Ma Yuan Luo 50 8 0 28 Sep 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Bin Cui 16 13 0 28 Jun 2023
Conformal Inference for Invariant Risk Minimization Wenlu Tang Zicheng Liu 19 0 0 22 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 29 11 0 19 May 2023
A principled approach to model validation in domain generalization Boyang Lyu Thuan Q. Nguyen matthias. scheutz Prakash Ishwar Shuchin Aeron 31 2 0 02 Apr 2023
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization Sangrok Lee Jongseong Bae Ha Young Kim OOD 33 26 0 04 Mar 2023
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making Shujian Yu Hongming Li Sigurd Løkse Robert Jenssen José C. Príncipe BDL 21 6 0 21 Jan 2023
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 24 0 0 28 Oct 2022
Repeated Environment Inference for Invariant Learning Aayush Mishra Anqi Liu BDL OOD 14 0 0 26 Jul 2022
Domain Decorrelation with Potential Energy Ranking Sen Pei Jiaxi Sun Richard Yi Da Xu Shiming Xiang Gaofeng Meng OOD 19 4 0 25 Jul 2022
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 185 125 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 215 898 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 38 64 0 19 Feb 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015