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Domain Generalization Guided by Large-Scale Pre-Trained Priors

Domain Generalization Guided by Large-Scale Pre-Trained Priors

9 June 2024
Zongbin Wang
Bin Pan
Shiyu Shen
Tianyang Shi
Zhenwei Shi
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Domain Generalization Guided by Large-Scale Pre-Trained Priors"

31 / 31 papers shown
Title
Domain Generalization via Rationale Invariance
Domain Generalization via Rationale Invariance
Liang Chen
Yong Zhang
Yibing Song
Anton Van Den Hengel
Lingqiao Liu
OOD
81
13
0
22 Aug 2023
Sharpness-Aware Gradient Matching for Domain Generalization
Sharpness-Aware Gradient Matching for Domain Generalization
Pengfei Wang
Zhaoxiang Zhang
Zhen Lei
Lei Zhang
66
95
0
18 Mar 2023
CLIP the Gap: A Single Domain Generalization Approach for Object
  Detection
CLIP the Gap: A Single Domain Generalization Approach for Object Detection
Vidit Vidit
Martin Engilberge
Mathieu Salzmann
VLMObjD
79
83
0
13 Jan 2023
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
103
129
0
20 Oct 2022
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative
  Priors
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
Ravid Shwartz-Ziv
Micah Goldblum
Hossein Souri
Sanyam Kapoor
Chen Zhu
Yann LeCun
A. Wilson
UQCVBDL
101
43
0
20 May 2022
Domain Generalization by Mutual-Information Regularization with
  Pre-trained Models
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Junbum Cha
Kyungjae Lee
Sungrae Park
Sanghyuk Chun
OOD
104
137
0
21 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Percy Liang
OODD
129
683
0
21 Feb 2022
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
270
0
11 Jun 2021
Improved OOD Generalization via Adversarial Training and Pre-training
Improved OOD Generalization via Adversarial Training and Pre-training
Mingyang Yi
Lu Hou
Jiacheng Sun
Lifeng Shang
Xin Jiang
Qun Liu
Zhi-Ming Ma
VLM
60
84
0
24 May 2021
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCVBDL
120
132
0
14 May 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OODAI4CE
256
1,024
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
231
1,233
0
02 Mar 2021
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
301
459
0
17 Feb 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
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
94
1,157
0
02 Jul 2020
Noise or Signal: The Role of Image Backgrounds in Object Recognition
Noise or Signal: The Role of Image Backgrounds in Object Recognition
Kai Y. Xiao
Logan Engstrom
Andrew Ilyas
Aleksander Madry
143
387
0
17 Jun 2020
A survey on domain adaptation theory: learning bounds and theoretical
  guarantees
A survey on domain adaptation theory: learning bounds and theoretical guarantees
I. Redko
Emilie Morvant
Amaury Habrard
M. Sebban
Younès Bennani
OOD
148
135
0
24 Apr 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
63
447
0
04 Dec 2019
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent
  Estimates
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
184
153
0
06 Nov 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features
Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou
Daniel Coelho De Castro
Konstantinos Kamnitsas
Ben Glocker
OOD
110
701
0
29 Oct 2019
Learning De-biased Representations with Biased Representations
Learning De-biased Representations with Biased Representations
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
403
282
0
07 Oct 2019
Invariant Risk Minimization
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
195
2,246
0
05 Jul 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning
A Simple Baseline for Bayesian Uncertainty in Deep Learning
Wesley J. Maddox
T. Garipov
Pavel Izmailov
Dmitry Vetrov
A. Wilson
BDLUQCV
99
809
0
07 Feb 2019
Recognition in Terra Incognita
Recognition in Terra Incognita
Sara Beery
Grant Van Horn
Pietro Perona
97
853
0
13 Jul 2018
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
1,427
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
124
1,453
0
09 Oct 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
105
3,170
0
06 Jul 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
390
9,524
0
28 May 2015
A PAC-Bayesian Tutorial with A Dropout Bound
A PAC-Bayesian Tutorial with A Dropout Bound
David A. McAllester
83
140
0
08 Jul 2013
Domain Generalization via Invariant Feature Representation
Domain Generalization via Invariant Feature Representation
Krikamol Muandet
David Balduzzi
Bernhard Schölkopf
OOD
142
1,188
0
10 Jan 2013
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