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2106.06333
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Invariant Information Bottleneck for Domain Generalization
11 June 2021
Bo-wen Li
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
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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
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