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KL Guided Domain Adaptation

KL Guided Domain Adaptation

14 June 2021
A. Nguyen
Toan M. Tran
Y. Gal
Philip Torr
A. G. Baydin
    OOD
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Papers citing "KL Guided Domain Adaptation"

27 / 27 papers shown
Title
Stein Discrepancy for Unsupervised Domain Adaptation
Stein Discrepancy for Unsupervised Domain Adaptation
Anneke von Seeger
Dongmian Zou
Gilad Lerman
135
0
0
24 Feb 2025
Test-time Adaptation for Regression by Subspace Alignment
Test-time Adaptation for Regression by Subspace Alignment
Kazuki Adachi
Shin'ya Yamaguchi
Atsutoshi Kumagai
Tomoki Hamagami
TTA
99
2
0
04 Oct 2024
f-Domain-Adversarial Learning: Theory and Algorithms
f-Domain-Adversarial Learning: Theory and Algorithms
David Acuna
Guojun Zhang
M. Law
Sanja Fidler
FedML
AI4CE
47
60
0
21 Jun 2021
Domain Invariant Representation Learning with Domain Density
  Transformations
Domain Invariant Representation Learning with Domain Density Transformations
A. Nguyen
Toan M. Tran
Y. Gal
A. G. Baydin
OOD
49
78
0
09 Feb 2021
DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer
DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer
A. Tanwani
OOD
26
27
0
15 Nov 2020
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
61
1,129
0
02 Jul 2020
Domain Adaptation with Conditional Distribution Matching and Generalized
  Label Shift
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Rémi Tachet des Combes
Han Zhao
Yu Wang
Geoffrey J. Gordon
OOD
AAML
VLM
62
186
0
10 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
310
42,038
0
03 Dec 2019
$d$-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
ddd-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
Xiang Xu
Xiong Zhou
Ragav Venkatesan
Gurumurthy Swaminathan
Orchid Majumder
48
120
0
29 May 2019
Bridging Theory and Algorithm for Domain Adaptation
Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang
Tianle Liu
Mingsheng Long
Michael I. Jordan
65
706
0
11 Apr 2019
Regularized Learning for Domain Adaptation under Label Shifts
Regularized Learning for Domain Adaptation under Label Shifts
Kamyar Azizzadenesheli
Anqi Liu
Fanny Yang
Anima Anandkumar
37
205
0
22 Mar 2019
Support and Invertibility in Domain-Invariant Representations
Support and Invertibility in Domain-Invariant Representations
Fredrik D. Johansson
David Sontag
Rajesh Ranganath
55
162
0
08 Mar 2019
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang
Lu Jiang
Yi Yang
Alexander G. Hauptmann
100
832
0
04 Jan 2019
VisDA: The Visual Domain Adaptation Challenge
VisDA: The Visual Domain Adaptation Challenge
Xingchao Peng
Ben Usman
Neela Kaushik
Judy Hoffman
Dequan Wang
Kate Saenko
OOD
70
795
0
18 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
105
1,434
0
09 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
514
129,831
0
12 Jun 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
120
1,721
0
31 Dec 2016
Deep Variational Information Bottleneck
Deep Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
94
1,697
0
01 Dec 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
86
3,123
0
06 Jul 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
Domain Generalization for Object Recognition with Multi-task
  Autoencoders
Domain Generalization for Object Recognition with Multi-task Autoencoders
Muhammad Ghifary
W. Kleijn
Mengjie Zhang
David Balduzzi
ViT
OOD
67
657
0
31 Aug 2015
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
357
9,418
0
28 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.1K
149,474
0
22 Dec 2014
Domain-Adversarial Neural Networks
Domain-Adversarial Neural Networks
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
OOD
GAN
DRL
84
306
0
15 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
393
16,962
0
20 Dec 2013
Domain Generalization via Invariant Feature Representation
Domain Generalization via Invariant Feature Representation
Krikamol Muandet
David Balduzzi
Bernhard Schölkopf
OOD
106
1,166
0
10 Jan 2013
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
284
796
0
19 Feb 2009
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