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Domain-Adversarial Training of Neural Networks
v1v2v3v4 (latest)

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
    GANOOD
ArXiv (abs)PDFHTML

Papers citing "Domain-Adversarial Training of Neural Networks"

43 / 3,643 papers shown
Title
L p -norm Sauer-Shelah Lemma for Margin Multi-category Classifiers
L p -norm Sauer-Shelah Lemma for Margin Multi-category Classifiers
Y. Guermeur
74
22
0
26 Sep 2016
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot
  Transfer
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer
Coline Devin
Abhishek Gupta
Trevor Darrell
Pieter Abbeel
Sergey Levine
OffRL
86
401
0
22 Sep 2016
Discovering and Deciphering Relationships Across Disparate Data
  Modalities
Discovering and Deciphering Relationships Across Disparate Data Modalities
Joshua T. Vogelstein
Eric W. Bridgeford
Qing Wang
Carey E. Priebe
Mauro Maggioni
Cencheng Shen
120
39
0
16 Sep 2016
Quasi-stationary Monte Carlo and the ScaLE Algorithm
Quasi-stationary Monte Carlo and the ScaLE Algorithm
M. Pollock
Paul Fearnhead
A. M. Johansen
Gareth O. Roberts
98
18
0
12 Sep 2016
Employing traditional machine learning algorithms for big data streams
  analysis: the case of object trajectory prediction
Employing traditional machine learning algorithms for big data streams analysis: the case of object trajectory prediction
Angelos Valsamis
Konstantinos Tserpes
Dimitrios Zissis
D. Anagnostopoulos
T. Varvarigou
63
76
0
01 Sep 2016
Constraint matrix factorization for space variant PSFs field restoration
Constraint matrix factorization for space variant PSFs field restoration
Fred-Maurice Ngole-Mboula
Jean-Luc Starck
K. Okumura
J. Amiaux
P. Hudelot
44
8
0
29 Aug 2016
Online Monotone Optimization
Online Monotone Optimization
I. Gemp
Sridhar Mahadevan
43
4
0
29 Aug 2016
Domain Separation Networks
Domain Separation Networks
Konstantinos Bousmalis
George Trigeorgis
N. Silberman
Dilip Krishnan
D. Erhan
OOD
112
1,456
0
22 Aug 2016
Play and Learn: Using Video Games to Train Computer Vision Models
Play and Learn: Using Video Games to Train Computer Vision Models
Alireza Shafaei
James J. Little
Mark Schmidt
90
108
0
05 Aug 2016
Nested Kriging predictions for datasets with large number of
  observations
Nested Kriging predictions for datasets with large number of observations
D. Rullière
N. Durrande
François Bachoc
C. Chevalier
79
67
0
19 Jul 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
85
270
0
12 Jul 2016
Covariate Regularized Community Detection in Sparse Graphs
Covariate Regularized Community Detection in Sparse Graphs
Bowei Yan
Purnamrita Sarkar
64
55
0
10 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
43
21
0
05 Jul 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming-Yuan Liu
Oncel Tuzel
OODGAN
106
1,628
0
24 Jun 2016
Estimating individual treatment effect: generalization bounds and
  algorithms
Estimating individual treatment effect: generalization bounds and algorithms
Uri Shalit
Fredrik D. Johansson
David Sontag
CMLOOD
91
12
0
13 Jun 2016
Structure Learning in Graphical Modeling
Structure Learning in Graphical Modeling
Mathias Drton
Marloes H. Maathuis
CML
107
253
0
07 Jun 2016
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment
  Classification
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
Xilun Chen
Yu Sun
Ben Athiwaratkun
Claire Cardie
Kilian Q. Weinberger
307
316
0
06 Jun 2016
Gaussian variational approximation with sparse precision matrices
Gaussian variational approximation with sparse precision matrices
Linda S. L. Tan
David J. Nott
137
77
0
18 May 2016
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CMLOODBDL
318
730
0
12 May 2016
Interpretable Deep Neural Networks for Single-Trial EEG Classification
Interpretable Deep Neural Networks for Single-Trial EEG Classification
I. Sturm
Sebastian Bach
Wojciech Samek
K. Müller
77
353
0
27 Apr 2016
Interactive Perception: Leveraging Action in Perception and Perception
  in Action
Interactive Perception: Leveraging Action in Perception and Perception in Action
Jeannette Bohg
Karol Hausman
Bharathwaj Sankaran
Oliver Brock
Danica Kragic
S. Schaal
Gaurav Sukhatme
163
306
0
13 Apr 2016
Adapting Models to Signal Degradation using Distillation
Adapting Models to Signal Degradation using Distillation
Jong-Chyi Su
Subhransu Maji
89
31
0
01 Apr 2016
Lightweight Unsupervised Domain Adaptation by Convolutional Filter
  Reconstruction
Lightweight Unsupervised Domain Adaptation by Convolutional Filter Reconstruction
Rahaf Aljundi
Tinne Tuytelaars
58
27
0
23 Mar 2016
Beyond Sharing Weights for Deep Domain Adaptation
Beyond Sharing Weights for Deep Domain Adaptation
Artem Rozantsev
Mathieu Salzmann
Pascal Fua
70
443
0
21 Mar 2016
Unsupervised Domain Adaptation Using Approximate Label Matching
Unsupervised Domain Adaptation Using Approximate Label Matching
Jordan T. Ash
Robert Schapire
Barbara E. Engelhardt
OOD
53
7
0
16 Feb 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
129
41
0
29 Jan 2016
Distributed Optimization with Arbitrary Local Solvers
Distributed Optimization with Arbitrary Local Solvers
Chenxin Ma
Jakub Konecný
Martin Jaggi
Virginia Smith
Michael I. Jordan
Peter Richtárik
Martin Takáč
128
197
0
13 Dec 2015
Stability and Minimax Optimality of Tangential Delaunay Complexes for
  Manifold Reconstruction
Stability and Minimax Optimality of Tangential Delaunay Complexes for Manifold Reconstruction
Eddie Aamari
Clément Levrard
117
49
0
09 Dec 2015
Algorithmic independence of initial condition and dynamical law in
  thermodynamics and causal inference
Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference
Dominik Janzing
Rafael Chaves
B. Schoelkopf
CML
48
36
0
07 Dec 2015
Towards Principled Unsupervised Learning
Towards Principled Unsupervised Learning
Ilya Sutskever
Rafal Jozefowicz
Karol Gregor
Danilo Jimenez Rezende
Timothy Lillicrap
Oriol Vinyals
OODSSL
98
49
0
19 Nov 2015
Censoring Representations with an Adversary
Censoring Representations with an Adversary
Harrison Edwards
Amos Storkey
AAMLFaML
74
506
0
18 Nov 2015
The Variational Fair Autoencoder
The Variational Fair Autoencoder
Christos Louizos
Kevin Swersky
Yujia Li
Max Welling
R. Zemel
DRL
227
636
0
03 Nov 2015
High Dimensional Data Modeling Techniques for Detection of Chemical
  Plumes and Anomalies in Hyperspectral Images and Movies
High Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies
Yi
Yi Wang
Guangliang Chen
Mauro Maggioni
78
13
0
24 Sep 2015
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
141
1,201
0
21 Sep 2015
Minimum Spectral Connectivity Projection Pursuit
Minimum Spectral Connectivity Projection Pursuit
David P. Hofmeyr
N. Pavlidis
I. Eckley
30
6
0
04 Sep 2015
The Spectral Norm of Random Inner-Product Kernel Matrices
The Spectral Norm of Random Inner-Product Kernel Matrices
Z. Fan
Andrea Montanari
202
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
105
100
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
87
65
0
15 Jun 2015
On the Prior Sensitivity of Thompson Sampling
On the Prior Sensitivity of Thompson Sampling
Che-Yu Liu
Lihong Li
90
25
0
10 Jun 2015
Communication-Efficient Distributed Optimization of Self-Concordant
  Empirical Loss
Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss
Yuchen Zhang
Lin Xiao
177
72
0
01 Jan 2015
Model-based Kernel Sum Rule: Kernel Bayesian Inference with
  Probabilistic Models
Model-based Kernel Sum Rule: Kernel Bayesian Inference with Probabilistic Models
Yu Nishiyama
Motonobu Kanagawa
Arthur Gretton
Kenji Fukumizu
105
3
0
18 Sep 2014
Subspace Learning From Bits
Subspace Learning From Bits
Yuejie Chi
H. Fu
50
20
0
23 Jul 2014
Hilbert Space Methods for Reduced-Rank Gaussian Process Regression
Hilbert Space Methods for Reduced-Rank Gaussian Process Regression
Arno Solin
Simo Särkkä
253
219
0
21 Jan 2014
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