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1505.07818
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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
Re-assign community
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Papers citing
"Domain-Adversarial Training of Neural Networks"
43 / 3,643 papers shown
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401
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Eric W. Bridgeford
Qing Wang
Carey E. Priebe
Mauro Maggioni
Cencheng Shen
120
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16 Sep 2016
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
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
Fred-Maurice Ngole-Mboula
Jean-Luc Starck
K. Okumura
J. Amiaux
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44
8
0
29 Aug 2016
Online Monotone Optimization
I. Gemp
Sridhar Mahadevan
43
4
0
29 Aug 2016
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
Alireza Shafaei
James J. Little
Mark Schmidt
90
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05 Aug 2016
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
Paul Henderson
V. Ferrari
ObjD
85
270
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12 Jul 2016
Covariate Regularized Community Detection in Sparse Graphs
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Purnamrita Sarkar
64
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0
10 Jul 2016
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
Ming-Yuan Liu
Oncel Tuzel
OOD
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106
1,628
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24 Jun 2016
Estimating individual treatment effect: generalization bounds and algorithms
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Fredrik D. Johansson
David Sontag
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91
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13 Jun 2016
Structure Learning in Graphical Modeling
Mathias Drton
Marloes H. Maathuis
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Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
Xilun Chen
Yu Sun
Ben Athiwaratkun
Claire Cardie
Kilian Q. Weinberger
307
316
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06 Jun 2016
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
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
318
730
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12 May 2016
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
Jeannette Bohg
Karol Hausman
Bharathwaj Sankaran
Oliver Brock
Danica Kragic
S. Schaal
Gaurav Sukhatme
163
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13 Apr 2016
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
Rahaf Aljundi
Tinne Tuytelaars
58
27
0
23 Mar 2016
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
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
Hildo Bijl
Thomas B. Schon
J. Wingerden
M. Verhaegen
129
41
0
29 Jan 2016
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
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Clément Levrard
117
49
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09 Dec 2015
Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference
Dominik Janzing
Rafael Chaves
B. Schoelkopf
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48
36
0
07 Dec 2015
Towards Principled Unsupervised Learning
Ilya Sutskever
Rafal Jozefowicz
Karol Gregor
Danilo Jimenez Rezende
Timothy Lillicrap
Oriol Vinyals
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SSL
98
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0
19 Nov 2015
Censoring Representations with an Adversary
Harrison Edwards
Amos Storkey
AAML
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74
506
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18 Nov 2015
The Variational Fair Autoencoder
Christos Louizos
Kevin Swersky
Yujia Li
Max Welling
R. Zemel
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227
636
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High Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies
Yi
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Guangliang Chen
Mauro Maggioni
78
13
0
24 Sep 2015
Evaluating the visualization of what a Deep Neural Network has learned
Wojciech Samek
Alexander Binder
G. Montavon
Sebastian Lapuschkin
K. Müller
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141
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Minimum Spectral Connectivity Projection Pursuit
David P. Hofmeyr
N. Pavlidis
I. Eckley
30
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The Spectral Norm of Random Inner-Product Kernel Matrices
Z. Fan
Andrea Montanari
202
47
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19 Jul 2015
On the use of Harrell's C for clinical risk prediction via random survival forests
M. Schmid
Marvin N. Wright
A. Ziegler
105
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A New PAC-Bayesian Perspective on Domain Adaptation
Pascal Germain
Amaury Habrard
François Laviolette
Emilie Morvant
87
65
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15 Jun 2015
On the Prior Sensitivity of Thompson Sampling
Che-Yu Liu
Lihong Li
90
25
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Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss
Yuchen Zhang
Lin Xiao
177
72
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Model-based Kernel Sum Rule: Kernel Bayesian Inference with Probabilistic Models
Yu Nishiyama
Motonobu Kanagawa
Arthur Gretton
Kenji Fukumizu
105
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Subspace Learning From Bits
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H. Fu
50
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Hilbert Space Methods for Reduced-Rank Gaussian Process Regression
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Simo Särkkä
253
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0
21 Jan 2014
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