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Causal Balancing for Domain Generalization
v1v2v3v4 (latest)

Causal Balancing for Domain Generalization

10 June 2022
Xinyi Wang
Michael Stephen Saxon
Jiachen Li
Hongyang R. Zhang
Kun Zhang
William Yang Wang
    OODCML
ArXiv (abs)PDFHTML

Papers citing "Causal Balancing for Domain Generalization"

39 / 39 papers shown
Title
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation
Shuzhou Sun
Li Liu
Tianpeng Liu
Shuaifeng Zhi
Ming-Ming Cheng
J. Heikkilä
Yongxiang Liu
CML
228
0
0
29 May 2025
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Gaojie Jin
Ronghui Mu
Xinping Yi
Xiaowei Huang
Lijun Zhang
148
0
0
01 Jul 2024
A Style and Semantic Memory Mechanism for Domain Generalization
A Style and Semantic Memory Mechanism for Domain Generalization
Yang Chen
Yu Wang
Yingwei Pan
Ting Yao
Xinmei Tian
Tao Mei
65
42
0
14 Dec 2021
Focus on the Common Good: Group Distributional Robustness Follows
Focus on the Common Good: Group Distributional Robustness Follows
Vihari Piratla
Praneeth Netrapalli
Sunita Sarawagi
OOD
89
26
0
06 Oct 2021
Just Train Twice: Improving Group Robustness without Training Group
  Information
Just Train Twice: Improving Group Robustness without Training Group Information
Emmy Liu
Behzad Haghgoo
Annie S. Chen
Aditi Raghunathan
Pang Wei Koh
Shiori Sagawa
Percy Liang
Chelsea Finn
OOD
110
563
0
19 Jul 2021
Out-of-distribution Generalization in the Presence of Nuisance-Induced
  Spurious Correlations
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations
A. Puli
Lily H. Zhang
Eric K. Oermann
Rajesh Ranganath
OODOODD
75
49
0
29 Jun 2021
Examining and Combating Spurious Features under Distribution Shift
Examining and Combating Spurious Features under Distribution Shift
Chunting Zhou
Xuezhe Ma
Paul Michel
Graham Neubig
OOD
89
68
0
14 Jun 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
69
270
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
97
116
0
11 Jun 2021
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
Xinyi Wang
Wenhu Chen
Michael Stephen Saxon
Wenjie Wang
OODCMLBDL
82
8
0
07 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Yujia Bao
Shiyu Chang
Regina Barzilay
74
21
0
26 May 2021
Causally motivated Shortcut Removal Using Auxiliary Labels
Causally motivated Shortcut Removal Using Auxiliary Labels
Maggie Makar
Ben Packer
D. Moldovan
Davis W. Blalock
Yoni Halpern
Alexander DÁmour
OODCML
74
75
0
13 May 2021
SelfReg: Self-supervised Contrastive Regularization for Domain
  Generalization
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Daehee Kim
Seunghyun Park
Jinkyu Kim
Jaekoo Lee
OODSSL
135
273
0
20 Apr 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
143
305
0
03 Mar 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
80
37
0
16 Jan 2021
Does Invariant Risk Minimization Capture Invariance?
Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath
Akilesh Tangella
Danica J. Sutherland
Nathan Srebro
OOD
277
128
0
04 Jan 2021
Learning from others' mistakes: Avoiding dataset biases without modeling
  them
Learning from others' mistakes: Avoiding dataset biases without modeling them
Victor Sanh
Thomas Wolf
Yonatan Belinkov
Alexander M. Rush
84
116
0
02 Dec 2020
The Risks of Invariant Risk Minimization
The Risks of Invariant Risk Minimization
Elan Rosenfeld
Pradeep Ravikumar
Andrej Risteski
OOD
96
312
0
12 Oct 2020
Learning explanations that are hard to vary
Learning explanations that are hard to vary
Giambattista Parascandolo
Alexander Neitz
Antonio Orvieto
Luigi Gresele
Bernhard Schölkopf
FAtt
86
187
0
01 Sep 2020
Accounting for Unobserved Confounding in Domain Generalization
Accounting for Unobserved Confounding in Domain Generalization
Alexis Bellot
M. Schaar
CMLOOD
88
23
0
21 Jul 2020
Self-Challenging Improves Cross-Domain Generalization
Self-Challenging Improves Cross-Domain Generalization
Zeyi Huang
Haohan Wang
Eric Xing
Dong Huang
OOD
99
633
0
05 Jul 2020
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
103
1,158
0
02 Jul 2020
Domain Generalization using Causal Matching
Domain Generalization using Causal Matching
Divyat Mahajan
Shruti Tople
Amit Sharma
OOD
94
337
0
12 Jun 2020
Adversarial Domain Adaptation with Domain Mixup
Adversarial Domain Adaptation with Domain Mixup
Minghao Xu
Jian Zhang
Bingbing Ni
Teng Li
Chengjie Wang
Qi Tian
Wenjun Zhang
70
447
0
04 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
108
1,250
0
20 Nov 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias
  improves accuracy and robustness
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix Wichmann
Wieland Brendel
146
2,676
0
29 Nov 2018
Recognition in Terra Incognita
Recognition in Terra Incognita
Sara Beery
Grant Van Horn
Pietro Perona
102
853
0
13 Jul 2018
Domain Generalization by Marginal Transfer Learning
Domain Generalization by Marginal Transfer Learning
Gilles Blanchard
A. Deshmukh
Ürün Dogan
Gyemin Lee
Clayton Scott
OOD
102
286
0
21 Nov 2017
Learning to Generalize: Meta-Learning for Domain Generalization
Learning to Generalize: Meta-Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
102
1,430
0
10 Oct 2017
Deeper, Broader and Artier Domain Generalization
Deeper, Broader and Artier Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
132
1,453
0
09 Oct 2017
Unified Deep Supervised Domain Adaptation and Generalization
Unified Deep Supervised Domain Adaptation and Generalization
Saeid Motiian
Marco Piccirilli
Donald Adjeroh
Gianfranco Doretto
OOD
98
793
0
28 Sep 2017
Deep Hashing Network for Unsupervised Domain Adaptation
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
147
2,059
0
22 Jun 2017
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
107
3,173
0
06 Jul 2016
Variational Inference: A Review for Statisticians
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
340
4,817
0
04 Jan 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GANOOD
417
9,527
0
28 May 2015
Causal inference using invariant prediction: identification and
  confidence intervals
Causal inference using invariant prediction: identification and confidence intervals
J. Peters
Peter Buhlmann
N. Meinshausen
OOD
124
974
0
06 Jan 2015
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
297
14,978
1
21 Dec 2013
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
486
16,916
0
20 Dec 2013
Density Estimation in Infinite Dimensional Exponential Families
Density Estimation in Infinite Dimensional Exponential Families
Bharath K. Sriperumbudur
Kenji Fukumizu
Arthur Gretton
Aapo Hyvarinen
Revant Kumar
88
128
0
12 Dec 2013
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