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SelfReg: Self-supervised Contrastive Regularization for Domain
  Generalization

SelfReg: Self-supervised Contrastive Regularization for Domain Generalization

20 April 2021
Daehee Kim
Seunghyun Park
Jinkyu Kim
Jaekoo Lee
    OOD
    SSL
ArXivPDFHTML

Papers citing "SelfReg: Self-supervised Contrastive Regularization for Domain Generalization"

14 / 14 papers shown
Title
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Dongkwan Lee
Kyomin Hwang
Nojun Kwak
94
0
0
18 Mar 2025
Gradient-Guided Annealing for Domain Generalization
Gradient-Guided Annealing for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
46
0
0
27 Feb 2025
Your contrastive learning problem is secretly a distribution alignment problem
Your contrastive learning problem is secretly a distribution alignment problem
Zihao Chen
Chi-Heng Lin
Ran Liu
Jingyun Xiao
Eva L. Dyer
43
1
0
27 Feb 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
83
0
0
18 Dec 2024
Meta Curvature-Aware Minimization for Domain Generalization
Meta Curvature-Aware Minimization for Domain Generalization
Z. Chen
Yiwen Ye
Feilong Tang
Yongsheng Pan
Yong-quan Xia
BDL
89
1
0
16 Dec 2024
PathoWAve: A Deep Learning-based Weight Averaging Method for Improving
  Domain Generalization in Histopathology Images
PathoWAve: A Deep Learning-based Weight Averaging Method for Improving Domain Generalization in Histopathology Images
Parastoo Sotoudeh Sharifi
M. Omair Ahmad
M. N. S. Swamy
MoMe
OOD
12
0
0
21 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang
Chujie Zhao
Guanyu Chen
Yizhou Jiang
Feng Chen
OOD
MLT
OODD
49
2
0
05 Jun 2024
Non-stationary Domain Generalization: Theory and Algorithm
Non-stationary Domain Generalization: Theory and Algorithm
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
OOD
26
1
0
10 May 2024
Preserving Silent Features for Domain Generalization
Preserving Silent Features for Domain Generalization
Chujie Zhao
Tianren Zhang
Feng Chen
10
0
0
06 Jan 2024
Parameter Exchange for Robust Dynamic Domain Generalization
Parameter Exchange for Robust Dynamic Domain Generalization
Luojun Lin
Zhifeng Shen
Zhishu Sun
Yuanlong Yu
Lei Zhang
Weijie Chen
OOD
10
6
0
23 Nov 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
24
8
0
28 Sep 2023
Frequency Decomposition to Tap the Potential of Single Domain for
  Generalization
Frequency Decomposition to Tap the Potential of Single Domain for Generalization
Qing-sheng Yang
Hongjing Niu
Pengfei Xia
Wei Zhang
Bin Li
OOD
8
0
0
14 Apr 2023
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
212
888
0
02 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
234
11,568
0
09 Mar 2017
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