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Generalizing to unseen domains via distribution matching

Generalizing to unseen domains via distribution matching

3 November 2019
Isabela Albuquerque
João Monteiro
Mohammad Javad Darvishi Bayazi
T. Falk
Ioannis Mitliagkas
    OOD
ArXivPDFHTML

Papers citing "Generalizing to unseen domains via distribution matching"

49 / 99 papers shown
Title
Mitigating Both Covariate and Conditional Shift for Domain
  Generalization
Mitigating Both Covariate and Conditional Shift for Domain Generalization
Jianxin Lin
Yongqiang Tang
Junping Wang
Wensheng Zhang
OOD
50
3
0
17 Sep 2022
Domain-Specific Risk Minimization for Out-of-Distribution Generalization
Domain-Specific Risk Minimization for Out-of-Distribution Generalization
Yi-Fan Zhang
Jindong Wang
Jian Liang
Zhang Zhang
Baosheng Yu
Liangdao Wang
Dacheng Tao
Xingxu Xie
OOD
24
16
0
18 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under
  Combination Shift
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift
Yivan Zhang
Jindong Wang
Xingxu Xie
Masashi Sugiyama
OOD
44
1
0
03 Aug 2022
Domain Generalization for Activity Recognition via Adaptive Feature
  Fusion
Domain Generalization for Activity Recognition via Adaptive Feature Fusion
Xin Qin
Jindong Wang
Yiqiang Chen
Wang Lu
Xinlong Jiang
OOD
42
36
0
21 Jul 2022
Gated Domain Units for Multi-source Domain Generalization
Gated Domain Units for Multi-source Domain Generalization
Simon Foll
Alina Dubatovka
Eugen Ernst
Siu Lun Chau
Martin Maritsch
Patrik Okanovic
Gudrun Thater
J. M. Buhmann
Felix Wortmann
Krikamol Muandet
OOD
43
4
0
24 Jun 2022
On Certifying and Improving Generalization to Unseen Domains
On Certifying and Improving Generalization to Unseen Domains
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Jihun Hamm
OOD
29
4
0
24 Jun 2022
Invariant Causal Mechanisms through Distribution Matching
Invariant Causal Mechanisms through Distribution Matching
Mathieu Chevalley
Charlotte Bunne
Andreas Krause
Stefan Bauer
OOD
CML
22
40
0
23 Jun 2022
Domain Generalization via Selective Consistency Regularization for Time
  Series Classification
Domain Generalization via Selective Consistency Regularization for Time Series Classification
Wenyu Zhang
Mohamed Ragab
Chuan-Sheng Foo
OOD
AI4TS
27
2
0
16 Jun 2022
Modeling the Data-Generating Process is Necessary for
  Out-of-Distribution Generalization
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur
Emre Kıcıman
Amit Sharma
UQCV
OOD
30
25
0
15 Jun 2022
The Missing Invariance Principle Found -- the Reciprocal Twin of
  Invariant Risk Minimization
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization
Dongsung Huh
A. Baidya
OOD
28
8
0
29 May 2022
Generalizing to Evolving Domains with Latent Structure-Aware Sequential
  Autoencoder
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
Tiexin Qin
Shiqi Wang
Haoliang Li
CML
BDL
23
24
0
16 May 2022
Test-time Fourier Style Calibration for Domain Generalization
Test-time Fourier Style Calibration for Domain Generalization
Xingchen Zhao
Chang Liu
Anthony Sicilia
Seong Jae Hwang
Yunong Fu
TTA
OOD
42
35
0
13 May 2022
Domain Invariant Masked Autoencoders for Self-supervised Learning from
  Multi-domains
Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains
Haiyang Yang
Meilin Chen
Yizhou Wang
Shixiang Tang
Feng Zhu
Lei Bai
Rui Zhao
Wanli Ouyang
32
16
0
10 May 2022
Formulating Robustness Against Unforeseen Attacks
Formulating Robustness Against Unforeseen Attacks
Sihui Dai
Saeed Mahloujifar
Prateek Mittal
OOD
AAML
26
8
0
28 Apr 2022
Causal Transportability for Visual Recognition
Causal Transportability for Visual Recognition
Chengzhi Mao
K. Xia
James Wang
Hongya Wang
Junfeng Yang
Elias Bareinboim
Carl Vondrick
CML
OOD
BDL
32
36
0
26 Apr 2022
On the Limitations of General Purpose Domain Generalisation Methods
On the Limitations of General Purpose Domain Generalisation Methods
Henry Gouk
Ondrej Bohdal
Da Li
Timothy M. Hospedales
23
10
0
01 Feb 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Haoxiang Wang
Haozhe Si
Bo-wen Li
Han Zhao
OOD
67
33
0
30 Jan 2022
Improving Out-of-Distribution Robustness via Selective Augmentation
Improving Out-of-Distribution Robustness via Selective Augmentation
Huaxiu Yao
Yu Wang
Sai Li
Linjun Zhang
Weixin Liang
James Zou
Chelsea Finn
OOD
OODD
34
214
0
02 Jan 2022
Towards Principled Disentanglement for Domain Generalization
Towards Principled Disentanglement for Domain Generalization
Hanlin Zhang
Yi-Fan Zhang
Weiyang Liu
Adrian Weller
Bernhard Schölkopf
Eric Xing
OOD
44
112
0
27 Nov 2021
On Learning Domain-Invariant Representations for Transfer Learning with
  Multiple Sources
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
Trung-Nghia Phung
Trung Le
L. Vuong
Toan M. Tran
Anh Tran
Hung Bui
Dinh Q. Phung
OOD
AI4CE
37
19
0
27 Nov 2021
Federated Learning with Domain Generalization
Federated Learning with Domain Generalization
Liling Zhang
Xinyu Lei
Yichun Shi
Hongyu Huang
Chao Chen
FedML
OOD
22
54
0
20 Nov 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Beining Han
Chongyi Zheng
Harris Chan
Keiran Paster
Michael Ruogu Zhang
Jimmy Ba
OOD
AI4CE
20
13
0
27 Oct 2021
UniFed: A Unified Framework for Federated Learning on Non-IID Image
  Features
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features
Meirui Jiang
Xiaoxiao Li
Xiaofei Zhang
Michael Kamp
Qianming Dou
FedML
OOD
34
0
0
19 Oct 2021
Discovery of New Multi-Level Features for Domain Generalization via
  Knowledge Corruption
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption
A. Frikha
Denis Krompass
Volker Tresp
OOD
35
1
0
09 Sep 2021
Barycentric-alignment and reconstruction loss minimization for domain
  generalization
Barycentric-alignment and reconstruction loss minimization for domain generalization
Boyang Lyu
Thuan Q. Nguyen
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
OOD
38
4
0
04 Sep 2021
Towards Unsupervised Domain Generalization
Towards Unsupervised Domain Generalization
Xingxuan Zhang
Linjun Zhou
Renzhe Xu
Peng Cui
Zheyan Shen
Haoxin Liu
OOD
AI4CE
28
49
0
13 Jul 2021
Generalizing Nucleus Recognition Model in Multi-source Images via
  Pruning
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning
Jiatong Cai
Chenglu Zhu
C. Cui
Honglin Li
Tong Wu
Shichuan Zhang
Lin Yang
26
8
0
06 Jul 2021
Domain Conditional Predictors for Domain Adaptation
Domain Conditional Predictors for Domain Adaptation
João Monteiro
Xavier Gibert
Jianqiao Feng
Vincent Dumoulin
Dar-Shyang Lee
OOD
TTA
AI4CE
14
5
0
25 Jun 2021
Near-Optimal Linear Regression under Distribution Shift
Near-Optimal Linear Regression under Distribution Shift
Qi Lei
Wei Hu
Jason D. Lee
OOD
27
41
0
23 Jun 2021
Iterative Feature Matching: Toward Provable Domain Generalization with
  Logarithmic Environments
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments
Yining Chen
Elan Rosenfeld
Mark Sellke
Tengyu Ma
Andrej Risteski
OOD
33
33
0
18 Jun 2021
Learning Domain Invariant Representations by Joint Wasserstein Distance
  Minimization
Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization
Léo Andéol
Yusei Kawakami
Yuichiro Wada
Takafumi Kanamori
K. Müller
G. Montavon
OOD
37
7
0
09 Jun 2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain
  Adaptation
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
David Berthelot
Rebecca Roelofs
Kihyuk Sohn
Nicholas Carlini
Alexey Kurakin
29
136
0
08 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of
  Out-of-Distribution Generalization
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
Nanyang Ye
Kaican Li
Haoyue Bai
Runpeng Yu
Lanqing Hong
Fengwei Zhou
Zhenguo Li
Jun Zhu
CML
OOD
42
107
0
07 Jun 2021
Quantifying and Improving Transferability in Domain Generalization
Quantifying and Improving Transferability in Domain Generalization
Guojun Zhang
Han Zhao
Yaoliang Yu
Pascal Poupart
45
37
0
07 Jun 2021
On the benefits of representation regularization in invariance based
  domain generalization
On the benefits of representation regularization in invariance based domain generalization
Changjian Shui
Boyu Wang
Christian Gagné
OOD
19
25
0
30 May 2021
Explainability-aided Domain Generalization for Image Classification
Explainability-aided Domain Generalization for Image Classification
Robin M. Schmidt
FAtt
OOD
27
1
0
05 Apr 2021
Improved Detection of Face Presentation Attacks Using Image
  Decomposition
Improved Detection of Face Presentation Attacks Using Image Decomposition
Shlok Kumar Mishra
K. Sengupta
Max Horowitz-Gelb
Wen-Sheng Chu
Sofien Bouaziz
David Jacobs
CVBM
24
2
0
22 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
75
984
0
03 Mar 2021
An Online Learning Approach to Interpolation and Extrapolation in Domain
  Generalization
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization
Elan Rosenfeld
Pradeep Ravikumar
Andrej Risteski
34
34
0
25 Feb 2021
Robust Domain-Free Domain Generalization with Class-aware Alignment
Robust Domain-Free Domain Generalization with Class-aware Alignment
Wenyu Zhang
Mohamed Ragab
Ramón Sagarna
OOD
41
9
0
17 Feb 2021
Robust White Matter Hyperintensity Segmentation on Unseen Domain
Robust White Matter Hyperintensity Segmentation on Unseen Domain
Xingchen Zhao
Anthony Sicilia
D. Minhas
Erin O'Connor
H. Aizenstein
W. Klunk
D. Tudorascu
Seong Jae Hwang
OOD
21
13
0
12 Feb 2021
Domain Generalisation with Domain Augmented Supervised Contrastive
  Learning (Student Abstract)
Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract)
Hoang Son Le
Rini Akmeliawati
G. Carneiro
14
3
0
27 Dec 2020
Fundamental Limits and Tradeoffs in Invariant Representation Learning
Fundamental Limits and Tradeoffs in Invariant Representation Learning
Han Zhao
Chen Dan
Bryon Aragam
Tommi Jaakkola
Geoffrey J. Gordon
Pradeep Ravikumar
FaML
35
43
0
19 Dec 2020
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
38
79
0
30 Oct 2020
Understanding the Failure Modes of Out-of-Distribution Generalization
Understanding the Failure Modes of Out-of-Distribution Generalization
Vaishnavh Nagarajan
Anders Andreassen
Behnam Neyshabur
OOD
OODD
19
176
0
29 Oct 2020
Discrepancy Minimization in Domain Generalization with Generative
  Nearest Neighbors
Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors
Prashant Pandey
Mrigank Raman
Sumanth Varambally
A. Prathosh
14
1
0
28 Jul 2020
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional
  Manifolds
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds
Duo Wang
M. Jamnik
Pietro Lio
OOD
15
1
0
15 Jun 2020
Domain Generalization using Causal Matching
Domain Generalization using Causal Matching
Divyat Mahajan
Shruti Tople
Amit Sharma
OOD
31
326
0
12 Jun 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
908
0
02 Mar 2020
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