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Wasserstein Distance Guided Representation Learning for Domain
  Adaptation

Wasserstein Distance Guided Representation Learning for Domain Adaptation

5 July 2017
Jian Shen
Yanru Qu
Weinan Zhang
Yong Yu
    OOD
ArXivPDFHTML

Papers citing "Wasserstein Distance Guided Representation Learning for Domain Adaptation"

12 / 12 papers shown
Title
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
173
9,533
0
31 Mar 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
163
4,825
0
26 Jan 2017
Domain Separation Networks
Domain Separation Networks
Konstantinos Bousmalis
George Trigeorgis
N. Silberman
Dilip Krishnan
D. Erhan
OOD
107
1,449
0
22 Aug 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
245
11,145
0
14 Mar 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-Adversarial Neural Networks
Domain-Adversarial Neural Networks
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
OOD
GAN
DRL
87
308
0
15 Dec 2014
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
167
2,598
0
10 Dec 2014
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
196
8,321
0
06 Nov 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
176
4,948
0
06 Oct 2013
Barnes-Hut-SNE
Barnes-Hut-SNE
Laurens van der Maaten
75
210
0
15 Jan 2013
Marginalized Denoising Autoencoders for Domain Adaptation
Marginalized Denoising Autoencoders for Domain Adaptation
Minmin Chen
Z. Xu
Kilian Q. Weinberger
Fei Sha
96
817
0
18 Jun 2012
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