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Joint covariate-alignment and concept-alignment: a framework for domain
  generalization

Joint covariate-alignment and concept-alignment: a framework for domain generalization

1 August 2022
Thuan Q. Nguyen
Boyang Lyu
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
    OOD
ArXivPDFHTML

Papers citing "Joint covariate-alignment and concept-alignment: a framework for domain generalization"

22 / 22 papers shown
Title
Conditional entropy minimization principle for learning domain invariant
  representation features
Conditional entropy minimization principle for learning domain invariant representation features
Thuan Q. Nguyen
Boyang Lyu
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
OOD
75
8
0
25 Jan 2022
Exploiting Domain-Specific Features to Enhance Domain Generalization
Exploiting Domain-Specific Features to Enhance Domain Generalization
Manh-Ha Bui
Toan M. Tran
Anh Tran
D.Q. Phung
OOD
76
130
0
18 Oct 2021
Invariance Principle Meets Information Bottleneck for
  Out-of-Distribution Generalization
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
62
268
0
11 Jun 2021
Invariant Information Bottleneck for Domain Generalization
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
113
0
11 Jun 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
242
1,013
0
03 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
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
217
1,223
0
02 Mar 2021
Nonlinear Invariant Risk Minimization: A Causal Approach
Nonlinear Invariant Risk Minimization: A Causal Approach
Chaochao Lu
Yuhuai Wu
Jośe Miguel Hernández-Lobato
Bernhard Schölkopf
CML
OOD
89
52
0
24 Feb 2021
Domain Invariant Representation Learning with Domain Density
  Transformations
Domain Invariant Representation Learning with Domain Density Transformations
A. Nguyen
Toan M. Tran
Y. Gal
A. G. Baydin
OOD
59
78
0
09 Feb 2021
Out-of-distribution Prediction with Invariant Risk Minimization: The
  Limitation and An Effective Fix
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix
Ruocheng Guo
Pengchuan Zhang
Hao Liu
Emre Kıcıman
OOD
73
37
0
16 Jan 2021
Empirical or Invariant Risk Minimization? A Sample Complexity
  Perspective
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
Kartik Ahuja
Jun Wang
Amit Dhurandhar
Karthikeyan Shanmugam
Kush R. Varshney
OOD
83
79
0
30 Oct 2020
Respecting Domain Relations: Hypothesis Invariance for Domain
  Generalization
Respecting Domain Relations: Hypothesis Invariance for Domain Generalization
Ziqi Wang
Marco Loog
Jan van Gemert
OOD
56
48
0
15 Oct 2020
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
79
1,149
0
02 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
117
546
0
01 Jul 2020
Feature Alignment and Restoration for Domain Generalization and
  Adaptation
Feature Alignment and Restoration for Domain Generalization and Adaptation
Xin Jin
Cuiling Lan
Wenjun Zeng
Zhibo Chen
OOD
71
40
0
22 Jun 2020
Class Distribution Alignment for Adversarial Domain Adaptation
Class Distribution Alignment for Adversarial Domain Adaptation
Wanqi Yang
Tong Ling
Chengmei Yang
Lei Wang
Yinghuan Shi
Luping Zhou
Ming Yang
81
3
0
20 Apr 2020
Invariant Risk Minimization Games
Invariant Risk Minimization Games
Kartik Ahuja
Karthikeyan Shanmugam
Kush R. Varshney
Amit Dhurandhar
OOD
65
250
0
11 Feb 2020
Invariant Risk Minimization
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
186
2,229
0
05 Jul 2019
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
Jun Wen
Nenggan Zheng
Junsong Yuan
Zhefeng Gong
Changyou Chen
OOD
UQCV
43
50
0
24 Jun 2019
An introduction to domain adaptation and transfer learning
An introduction to domain adaptation and transfer learning
Wouter M. Kouw
Marco Loog
OOD
41
291
0
31 Dec 2018
Domain Generalization by Marginal Transfer Learning
Domain Generalization by Marginal Transfer Learning
Gilles Blanchard
A. Deshmukh
Ürün Dogan
Gyemin Lee
Clayton Scott
OOD
99
286
0
21 Nov 2017
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
103
3,156
0
06 Jul 2016
Scatter Component Analysis: A Unified Framework for Domain Adaptation
  and Domain Generalization
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
Muhammad Ghifary
David Balduzzi
W. Kleijn
Mengjie Zhang
76
438
0
15 Oct 2015
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