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A Survey of Unsupervised Deep Domain Adaptation

A Survey of Unsupervised Deep Domain Adaptation

6 December 2018
Garrett Wilson
D. Cook
    OOD
ArXivPDFHTML

Papers citing "A Survey of Unsupervised Deep Domain Adaptation"

12 / 112 papers shown
Title
Evaluating Prediction-Time Batch Normalization for Robustness under
  Covariate Shift
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
Zachary Nado
Shreyas Padhy
D. Sculley
Alexander DÁmour
Balaji Lakshminarayanan
Jasper Snoek
OOD
AI4TS
30
238
0
19 Jun 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
HAI
19
294
0
09 Jun 2020
Learning Domain Invariant Representations for Child-Adult Classification
  from Speech
Learning Domain Invariant Representations for Child-Adult Classification from Speech
Rimita Lahiri
Manoj Kumar
Somer Bishop
Shrikanth Narayanan
19
10
0
25 Oct 2019
Bayesian Generative Models for Knowledge Transfer in MRI Semantic
  Segmentation Problems
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
MedIm
18
19
0
15 Aug 2019
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
Peixiang Zhong
Di Wang
C. Miao
23
513
0
18 Jul 2019
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
199
243
0
14 Jun 2018
Boosting Domain Adaptation by Discovering Latent Domains
Boosting Domain Adaptation by Discovering Latent Domains
Massimiliano Mancini
Lorenzo Porzi
Samuel Rota Buló
Barbara Caputo
Elisa Ricci
OOD
134
154
0
03 May 2018
Sample-to-Sample Correspondence for Unsupervised Domain Adaptation
Sample-to-Sample Correspondence for Unsupervised Domain Adaptation
Debasmit Das
C.S. George Lee
OOD
24
60
0
01 May 2018
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
229
3,190
0
30 Oct 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,545
0
25 Jan 2016
Domain Adaptations for Computer Vision Applications
Domain Adaptations for Computer Vision Applications
Oscar Beijbom
OOD
43
39
0
20 Nov 2012
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