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Probabilistic Test-Time Generalization by Variational Neighbor-Labeling

Probabilistic Test-Time Generalization by Variational Neighbor-Labeling

8 July 2023
Sameer Ambekar
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
    BDL
    OOD
ArXivPDFHTML

Papers citing "Probabilistic Test-Time Generalization by Variational Neighbor-Labeling"

31 / 31 papers shown
Title
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
Sameer Ambekar
Zehao Xiao
Xiantong Zhen
Cees G. M. Snoek
OOD
130
0
0
15 Feb 2025
Meta-causal Learning for Single Domain Generalization
Meta-causal Learning for Single Domain Generalization
Jin Chen
Zhiqiang Gao
Xinxiao Wu
Jiebo Luo
OOD
56
43
0
07 Apr 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
L. Yi
Gezheng Xu
Pengcheng Xu
Jiaqi Li
Ruizhi Pu
Charles Ling
A. McLeod
Boyu Wang
68
41
0
31 Jan 2023
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain
  Medical Images
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images
Hongzheng Yang
Cheng Chen
Meirui Jiang
Quande Liu
Jianfeng Cao
Pheng Ann Heng
Qi Dou
OOD
54
28
0
27 May 2022
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
101
419
0
25 Mar 2022
Learning to Generalize across Domains on Single Test Samples
Learning to Generalize across Domains on Single Test Samples
Zehao Xiao
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
OOD
63
31
0
16 Feb 2022
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature
  Restoration
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Cian Eastwood
I. Mason
Christopher K. I. Williams
Bernhard Schölkopf
TTA
57
51
0
12 Jul 2021
If your data distribution shifts, use self-learning
If your data distribution shifts, use self-learning
E. Rusak
Steffen Schneider
George Pachitariu
L. Eck
Peter V. Gehler
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
OOD
TTA
110
32
0
27 Apr 2021
Cycle Self-Training for Domain Adaptation
Cycle Self-Training for Domain Adaptation
Hong Liu
Jianmin Wang
Mingsheng Long
93
177
0
05 Mar 2021
Self-Challenging Improves Cross-Domain Generalization
Self-Challenging Improves Cross-Domain Generalization
Zeyi Huang
Haohan Wang
Eric Xing
Dong Huang
OOD
85
630
0
05 Jul 2020
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
74
1,137
0
02 Jul 2020
Domain Adaptive Ensemble Learning
Domain Adaptive Ensemble Learning
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
OOD
192
278
0
16 Mar 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer
  for Unsupervised Domain Adaptation
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang
Dapeng Hu
Jiashi Feng
93
1,238
0
20 Feb 2020
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
85
1,234
0
20 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
282
2,384
0
11 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
103
696
0
29 Oct 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
340
795
0
26 Aug 2019
Episodic Training for Domain Generalization
Episodic Training for Domain Generalization
Da Li
Jianshu Zhang
Yongxin Yang
Cong Liu
Yi-Zhe Song
Timothy M. Hospedales
OOD
98
447
0
31 Jan 2019
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
255
670
0
07 Jun 2018
Generalizing Across Domains via Cross-Gradient Training
Generalizing Across Domains via Cross-Gradient Training
Shiv Shankar
Vihari Piratla
Soumen Chakrabarti
S. Chaudhuri
Preethi Jyothi
Sunita Sarawagi
OOD
57
514
0
28 Apr 2018
A DIRT-T Approach to Unsupervised Domain Adaptation
A DIRT-T Approach to Unsupervised Domain Adaptation
Rui Shu
Hung Bui
Hirokazu Narui
Stefano Ermon
72
621
0
23 Feb 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
66
2,008
0
10 Feb 2018
Domain Generalization by Marginal Transfer Learning
Domain Generalization by Marginal Transfer Learning
Gilles Blanchard
A. Deshmukh
Ürün Dogan
Gyemin Lee
Clayton Scott
OOD
82
282
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
91
1,417
0
10 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
90
786
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
129
2,039
0
22 Jun 2017
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
803
11,866
0
09 Mar 2017
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
91
3,144
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
GAN
OOD
366
9,467
0
28 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
215
5,189
0
10 Feb 2015
Domain Generalization via Invariant Feature Representation
Domain Generalization via Invariant Feature Representation
Krikamol Muandet
David Balduzzi
Bernhard Schölkopf
OOD
110
1,173
0
10 Jan 2013
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