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Domain-Adversarial Training of Neural Networks

Domain-Adversarial Training of Neural Networks

28 May 2015
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
    GAN
    OOD
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Papers citing "Domain-Adversarial Training of Neural Networks"

44 / 3,494 papers shown
Title
Learning by Association - A versatile semi-supervised training method
  for neural networks
Learning by Association - A versatile semi-supervised training method for neural networks
Philip Häusser
A. Mordvintsev
Daniel Cremers
BDL
25
121
0
03 Jun 2017
On Unifying Deep Generative Models
On Unifying Deep Generative Models
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric P. Xing
DRL
GAN
23
126
0
02 Jun 2017
Fader Networks: Manipulating Images by Sliding Attributes
Fader Networks: Manipulating Images by Sliding Attributes
Guillaume Lample
Neil Zeghidour
Nicolas Usunier
Antoine Bordes
Ludovic Denoyer
MarcÁurelio Ranzato
DRL
GAN
21
543
0
01 Jun 2017
Controllable Invariance through Adversarial Feature Learning
Controllable Invariance through Adversarial Feature Learning
Qizhe Xie
Zihang Dai
Yulun Du
Eduard H. Hovy
Graham Neubig
OOD
12
289
0
31 May 2017
Joint auto-encoders: a flexible multi-task learning framework
Joint auto-encoders: a flexible multi-task learning framework
Baruch Epstein
T. Michaeli
6
8
0
30 May 2017
Multiple Source Domain Adaptation with Adversarial Training of Neural
  Networks
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks
H. Zhao
Shanghang Zhang
Guanhang Wu
João Paulo Costeira
José M. F. Moura
Geoffrey J. Gordon
OOD
6
40
0
26 May 2017
Principled Hybrids of Generative and Discriminative Domain Adaptation
Principled Hybrids of Generative and Discriminative Domain Adaptation
H. Zhao
Zhenyao Zhu
Junjie Hu
Adam Coates
Geoffrey J. Gordon
AI4CE
13
5
0
25 May 2017
Joint Distribution Optimal Transportation for Domain Adaptation
Joint Distribution Optimal Transportation for Domain Adaptation
Nicolas Courty
Rémi Flamary
Amaury Habrard
A. Rakotomamonjy
OT
OOD
26
555
0
24 May 2017
From source to target and back: symmetric bi-directional adaptive GAN
From source to target and back: symmetric bi-directional adaptive GAN
P. Russo
Fabio Maria Carlucci
Tatiana Tommasi
Barbara Caputo
GAN
13
240
0
24 May 2017
Classification Using Proximity Catch Digraphs (Technical Report)
Classification Using Proximity Catch Digraphs (Technical Report)
Artür Manukyan
E. Ceyhan
22
1
0
22 May 2017
Diffusion-based neuromodulation can eliminate catastrophic forgetting in
  simple neural networks
Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks
Roby Velez
Jeff Clune
DiffM
8
50
0
20 May 2017
Annotating and Modeling Empathy in Spoken Conversations
Annotating and Modeling Empathy in Spoken Conversations
Firoj Alam
Morena Danieli
Giuseppe Riccardi
11
63
0
13 May 2017
Recent Advances in Transfer Learning for Cross-Dataset Visual
  Recognition: A Problem-Oriented Perspective
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective
Jing Zhang
Wanqing Li
P. Ogunbona
Dong Xu
OOD
19
46
0
11 May 2017
Vertex Nomination Via Seeded Graph Matching
Vertex Nomination Via Seeded Graph Matching
Heather G. Patsolic
Youngser Park
V. Lyzinski
Carey E. Priebe
6
20
0
01 May 2017
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
Yi-Hsin Chen
Wei-Yu Chen
Yu-Ting Chen
Bo-Cheng Tsai
Y. Wang
Min Sun
SSeg
8
341
0
27 Apr 2017
Steganographic Generative Adversarial Networks
Steganographic Generative Adversarial Networks
Denis Volkhonskiy
Ivan Nazarov
Evgeny Burnaev
GAN
21
214
0
16 Mar 2017
English Conversational Telephone Speech Recognition by Humans and
  Machines
English Conversational Telephone Speech Recognition by Humans and Machines
G. Saon
Gakuto Kurata
Tom Sercu
Kartik Audhkhasi
Samuel Thomas
...
Bhuvana Ramabhadran
M. Picheny
L. Lim
Bergul Roomi
Phil Hall
18
364
0
06 Mar 2017
Perceiving and Reasoning About Liquids Using Fully Convolutional
  Networks
Perceiving and Reasoning About Liquids Using Fully Convolutional Networks
Connor Schenck
D. Fox
9
31
0
05 Mar 2017
Asymmetric Tri-training for Unsupervised Domain Adaptation
Asymmetric Tri-training for Unsupervised Domain Adaptation
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
18
580
0
27 Feb 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey
Domain Adaptation for Visual Applications: A Comprehensive Survey
G. Csurka
OOD
14
503
0
17 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
83
1,502
0
25 Jan 2017
Synthesizing Normalized Faces from Facial Identity Features
Synthesizing Normalized Faces from Facial Identity Features
Forrester Cole
David Belanger
Dilip Krishnan
Aaron Sarna
Inbar Mosseri
William T. Freeman
3DH
CVBM
23
141
0
17 Jan 2017
Modeling Grasp Motor Imagery through Deep Conditional Generative Models
Modeling Grasp Motor Imagery through Deep Conditional Generative Models
M. Veres
M. Moussa
Graham W. Taylor
GAN
16
37
0
11 Jan 2017
Unsupervised Image-to-Image Translation with Generative Adversarial
  Networks
Unsupervised Image-to-Image Translation with Generative Adversarial Networks
Hao Dong
Paarth Neekhara
Chao Wu
Yike Guo
GAN
19
88
0
10 Jan 2017
Heterogeneous domain adaptation: An unsupervised approach
Heterogeneous domain adaptation: An unsupervised approach
Feng Liu
Guangquan Zhang
Jie Lu
11
126
0
10 Jan 2017
Aspect-augmented Adversarial Networks for Domain Adaptation
Aspect-augmented Adversarial Networks for Domain Adaptation
Yuan Zhang
Regina Barzilay
Tommi Jaakkola
28
96
0
01 Jan 2017
Unsupervised domain adaptation in brain lesion segmentation with
  adversarial networks
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
Konstantinos Kamnitsas
Christian F. Baumgartner
C. Ledig
Virginia Newcombe
Joanna P. Simpson
...
David Menon
A. Nori
A. Criminisi
Daniel Rueckert
Ben Glocker
OOD
MedIm
8
477
0
28 Dec 2016
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OOD
GAN
19
1,527
0
16 Dec 2016
Optimal structure and parameter learning of Ising models
Optimal structure and parameter learning of Ising models
A. Lokhov
Marc Vuffray
Sidhant Misra
Michael Chertkov
25
79
0
15 Dec 2016
Robust nonparametric nearest neighbor random process clustering
Robust nonparametric nearest neighbor random process clustering
Michael Tschannen
Helmut Bölcskei
16
4
0
04 Dec 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb
Anirudh Goyal
Ying Zhang
Saizheng Zhang
Aaron Courville
Yoshua Bengio
GAN
29
588
0
27 Oct 2016
BET on Independence
BET on Independence
Kai Zhang
15
47
0
17 Oct 2016
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Andrei A. Rusu
Matej Vecerík
Thomas Rothörl
N. Heess
Razvan Pascanu
R. Hadsell
15
532
0
13 Oct 2016
L p -norm Sauer-Shelah Lemma for Margin Multi-category Classifiers
L p -norm Sauer-Shelah Lemma for Margin Multi-category Classifiers
Y. Guermeur
16
21
0
26 Sep 2016
End-to-end training of object class detectors for mean average precision
End-to-end training of object class detectors for mean average precision
Paul Henderson
V. Ferrari
ObjD
22
257
0
12 Jul 2016
Machine Learning in Falls Prediction; A cognition-based predictor of
  falls for the acute neurological in-patient population
Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population
Bilal A. Mateen
Matthias Bussas
Catherine Doogan
D. Waller
A. Saverino
Franz J. Király
E. Playford
OOD
14
21
0
05 Jul 2016
Gaussian variational approximation with sparse precision matrices
Gaussian variational approximation with sparse precision matrices
Linda S. L. Tan
David J. Nott
22
77
0
18 May 2016
Beyond Sharing Weights for Deep Domain Adaptation
Beyond Sharing Weights for Deep Domain Adaptation
Artem Rozantsev
Mathieu Salzmann
Pascal Fua
11
439
0
21 Mar 2016
System Identification through Online Sparse Gaussian Process Regression
  with Input Noise
System Identification through Online Sparse Gaussian Process Regression with Input Noise
Hildo Bijl
Thomas B. Schon
J. Wingerden
M. Verhaegen
22
41
0
29 Jan 2016
Evaluating the visualization of what a Deep Neural Network has learned
Evaluating the visualization of what a Deep Neural Network has learned
Wojciech Samek
Alexander Binder
G. Montavon
Sebastian Lapuschkin
K. Müller
XAI
7
1,178
0
21 Sep 2015
The Spectral Norm of Random Inner-Product Kernel Matrices
The Spectral Norm of Random Inner-Product Kernel Matrices
Z. Fan
Andrea Montanari
11
47
0
19 Jul 2015
On the use of Harrell's C for clinical risk prediction via random
  survival forests
On the use of Harrell's C for clinical risk prediction via random survival forests
M. Schmid
Marvin N. Wright
A. Ziegler
23
96
0
11 Jul 2015
A New PAC-Bayesian Perspective on Domain Adaptation
A New PAC-Bayesian Perspective on Domain Adaptation
Pascal Germain
Amaury Habrard
François Laviolette
Emilie Morvant
16
64
0
15 Jun 2015
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
788
0
19 Feb 2009
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