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Invariant Information Bottleneck for Domain Generalization

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
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
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
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
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
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
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
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
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
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
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
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
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
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
Repeated Environment Inference for Invariant Learning
Aayush Mishra
Anqi Liu
BDL
OOD
14
0
0
26 Jul 2022
Domain Decorrelation with Potential Energy Ranking
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?
Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath
Akilesh Tangella
Danica J. Sutherland
Nathan Srebro
OOD
185
125
0
04 Jan 2021
Invariant Rationalization
Invariant Rationalization
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
179
201
0
22 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
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
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
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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