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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"

50 / 3,643 papers shown
Title
Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld
Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld
Sicheng Zhao
Bichen Wu
Joseph E. Gonzalez
Sanjit A. Seshia
Kurt Keutzer
OOD
35
5
0
24 Mar 2018
Domain Adaptation with Randomized Expectation Maximization
Domain Adaptation with Randomized Expectation Maximization
Twan van Laarhoven
E. Marchiori
OOD
13
5
0
20 Mar 2018
Acoustic feature learning using cross-domain articulatory measurements
Acoustic feature learning using cross-domain articulatory measurements
Qingming Tang
Weiran Wang
Karen Livescu
29
2
0
19 Mar 2018
Cross-domain Recommendation via Deep Domain Adaptation
Cross-domain Recommendation via Deep Domain Adaptation
Heishiro Kanagawa
Hayato Kobayashi
N. Shimizu
Yukihiro Tagami
Taiji Suzuki
68
94
0
08 Mar 2018
Synthesis in pMDPs: A Tale of 1001 Parameters
Synthesis in pMDPs: A Tale of 1001 Parameters
Murat Cubuktepe
N. Jansen
Sebastian Junges
J. Katoen
Ufuk Topcu
52
43
0
05 Mar 2018
Kinematic Morphing Networks for Manipulation Skill Transfer
Kinematic Morphing Networks for Manipulation Skill Transfer
Péter Englert
Marc Toussaint
3DPC
26
5
0
05 Mar 2018
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
Jogendra Nath Kundu
P. Uppala
Anuj Pahuja
R. Venkatesh Babu
MDE
75
187
0
05 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
133
882
0
03 Mar 2018
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with
  Category Shift
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
Ruijia Xu
Ziliang Chen
W. Zuo
Junjie Yan
Liang Lin
OOD
96
392
0
02 Mar 2018
Gotta Adapt Ém All: Joint Pixel and Feature-Level Domain Adaptation for
  Recognition in the Wild
Gotta Adapt Ém All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild
Luan Tran
Kihyuk Sohn
Xiang Yu
Xiaoming Liu
Manmohan Chandraker
51
4
0
28 Feb 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OODSSeg
184
1,551
0
28 Feb 2018
Mixed Supervised Object Detection with Robust Objectness Transfer
Mixed Supervised Object Detection with Robust Objectness Transfer
Yan-Ran Li
Junge Zhang
Kaiqi Huang
Jianguo Zhang
WSOD
92
36
0
27 Feb 2018
Millionaire: A Hint-guided Approach for Crowdsourcing
Millionaire: A Hint-guided Approach for Crowdsourcing
Bo Han
Quanming Yao
Yuangang Pan
Ivor W. Tsang
Xiaokui Xiao
Qiang Yang
Masashi Sugiyama
LRM
17
4
0
26 Feb 2018
Adaptive Deep Learning through Visual Domain Localization
Adaptive Deep Learning through Visual Domain Localization
G. Angeletti
Barbara Caputo
Tatiana Tommasi
OOD
75
22
0
24 Feb 2018
Machine learning based hyperspectral image analysis: A survey
Machine learning based hyperspectral image analysis: A survey
Utsav B. Gewali
S. Monteiro
E. Saber
53
116
0
23 Feb 2018
Learning Optimal Policies from Observational Data
Learning Optimal Policies from Observational Data
Onur Atan
W. Zame
M. Schaar
CMLOODOffRL
62
18
0
23 Feb 2018
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic
  Cooperative Environments
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments
Yan Zheng
Jianye Hao
Zongzhang Zhang
OffRL
60
38
0
23 Feb 2018
Robust Estimation via Robust Gradient Estimation
Robust Estimation via Robust Gradient Estimation
Adarsh Prasad
A. Suggala
Sivaraman Balakrishnan
Pradeep Ravikumar
103
222
0
19 Feb 2018
DA-GAN: Instance-level Image Translation by Deep Attention Generative
  Adversarial Networks (with Supplementary Materials)
DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials)
Shuang Ma
Jianlong Fu
Chang Wen Chen
Tao Mei
GAN
73
154
0
18 Feb 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
386
685
0
17 Feb 2018
Multinomial Adversarial Networks for Multi-Domain Text Classification
Multinomial Adversarial Networks for Multi-Domain Text Classification
Xilun Chen
Claire Cardie
OOD
74
133
0
15 Feb 2018
Learning Privacy Preserving Encodings through Adversarial Training
Learning Privacy Preserving Encodings through Adversarial Training
Francesco Pittaluga
S. Koppal
Ayan Chakrabarti
PICV
160
76
0
14 Feb 2018
Variable Selection and Task Grouping for Multi-Task Learning
Variable Selection and Task Grouping for Multi-Task Learning
Jun-Yong Jeong
C. Jun
19
23
0
13 Feb 2018
Bayesian comparison of latent variable models: Conditional vs marginal
  likelihoods
Bayesian comparison of latent variable models: Conditional vs marginal likelihoods
Edgar C. Merkle
Daniel Furr
S. Rabe-Hesketh
83
75
0
13 Feb 2018
Combinets: Creativity via Recombination of Neural Networks
Combinets: Creativity via Recombination of Neural Networks
Matthew J. Guzdial
Mark O. Riedl
31
10
0
10 Feb 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
122
2,023
0
10 Feb 2018
Pros and Cons of GAN Evaluation Measures
Pros and Cons of GAN Evaluation Measures
Ali Borji
ELMEGVM
83
879
0
09 Feb 2018
Real-time Prediction of Intermediate-Horizon Automotive Collision Risk
Real-time Prediction of Intermediate-Horizon Automotive Collision Risk
Blake Wulfe
Sunil Chintakindi
Sou-Cheng T. Choi
R. Hartong-Redden
A. Kodali
Mykel J. Kochenderfer
54
17
0
05 Feb 2018
Museum Exhibit Identification Challenge for Domain Adaptation and Beyond
Museum Exhibit Identification Challenge for Domain Adaptation and Beyond
Piotr Koniusz
Yusuf Tas
Hongguang Zhang
Mehrtash Harandi
Fatih Porikli
Rui Zhang
66
7
0
04 Feb 2018
Deep Learning for Genomics: A Concise Overview
Deep Learning for Genomics: A Concise Overview
Tianwei Yue
Yuanxin Wang
Longxiang Zhang
Chunming Gu
Haohan Wang
Wenping Wang
Qi Lyu
Yujie Dun
AILawVLMBDL
86
91
0
02 Feb 2018
Tournament Leave-pair-out Cross-validation for Receiver Operating
  Characteristic (ROC) Analysis
Tournament Leave-pair-out Cross-validation for Receiver Operating Characteristic (ROC) Analysis
Ileana Montoya Perez
A. Airola
Peter Bostrom
I. Jambor
T. Pahikkala
23
20
0
29 Jan 2018
Covariance-based Dissimilarity Measures Applied to Clustering Wide-sense
  Stationary Ergodic Processes
Covariance-based Dissimilarity Measures Applied to Clustering Wide-sense Stationary Ergodic Processes
Qidi Peng
N. Rao
Ran Zhao
24
7
0
27 Jan 2018
Task-parallel Analysis of Molecular Dynamics Trajectories
Task-parallel Analysis of Molecular Dynamics Trajectories
Ioannis Paraskevakos
André Luckow
Mahzad Khoshlessan
George Chantzialexiou
Thomas E. Cheatham
O. Beckstein
Geoffrey C. Fox
S. Jha
38
15
0
23 Jan 2018
Investigating the Working of Text Classifiers
Investigating the Working of Text Classifiers
Devendra Singh Sachan
Manzil Zaheer
Ruslan Salakhutdinov
AI4TS
56
9
0
19 Jan 2018
Non-Adversarial Unsupervised Word Translation
Non-Adversarial Unsupervised Word Translation
Yedid Hoshen
Lior Wolf
87
119
0
18 Jan 2018
A Randomized Exchange Algorithm for Computing Optimal Approximate
  Designs of Experiments
A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments
Radoslav Harman
Lenka Filová
Peter Richtárik
49
52
0
17 Jan 2018
Adversarial Learning for Chinese NER from Crowd Annotations
Adversarial Learning for Chinese NER from Crowd Annotations
YaoSheng Yang
Meishan Zhang
Wenliang Chen
Wei Zhang
Haofen Wang
Min Zhang
58
33
0
16 Jan 2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
M. Opitz
Georg Waltner
Horst Possegger
Horst Bischof
FedMLOOD
100
166
0
15 Jan 2018
A3T: Adversarially Augmented Adversarial Training
A3T: Adversarially Augmented Adversarial Training
Akram Erraqabi
A. Baratin
Yoshua Bengio
Simon Lacoste-Julien
AAML
94
9
0
12 Jan 2018
Deep Learning for Electromyographic Hand Gesture Signal Classification
  Using Transfer Learning
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
Ulysse Côté-Allard
C. Fall
Alexandre Drouin
Alexandre Campeau-Lecours
C. Gosselin
K. Glette
François Laviolette
Benoit Gosselin
99
561
0
10 Jan 2018
A practical tutorial on autoencoders for nonlinear feature fusion:
  Taxonomy, models, software and guidelines
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
D. Charte
F. Charte
S. García
M. J. D. Jesus
Francisco Herrera
77
258
0
04 Jan 2018
Prediction Error Bounds for Linear Regression With the TREX
Prediction Error Bounds for Linear Regression With the TREX
Jacob Bien
Irina Gaynanova
Johannes Lederer
Christian L. Müller
58
18
0
04 Jan 2018
Optimal Bayesian Transfer Learning
Optimal Bayesian Transfer Learning
Alireza Karbalayghareh
Xiaoning Qian
E. R. Dougherty
BDL
89
79
0
02 Jan 2018
Discriminative and Geometry Aware Unsupervised Domain Adaptation
Discriminative and Geometry Aware Unsupervised Domain Adaptation
Lingkun Luo
Liming Chen
Shiqiang Hu
Ying Lu
Xiaofang Wang
OOD
77
56
0
28 Dec 2017
Domain Adaptation Meets Disentangled Representation Learning and Style
  Transfer
Domain Adaptation Meets Disentangled Representation Learning and Style Transfer
Hoang Tran Vu
Ching-Chun Huang
OODDRL
82
11
0
25 Dec 2017
ConvSCCS: convolutional self-controlled case series model for lagged
  adverse event detection
ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection
Maryan Morel
Emmanuel Bacry
Stéphane Gaïffas
Agathe Guilloux
F. Leroy
62
14
0
21 Dec 2017
Estimating the Success of Unsupervised Image to Image Translation
Estimating the Success of Unsupervised Image to Image Translation
Sagie Benaim
Tomer Galanti
Lior Wolf
SSL
38
0
0
21 Dec 2017
Sim2Real View Invariant Visual Servoing by Recurrent Control
Sim2Real View Invariant Visual Servoing by Recurrent Control
Fereshteh Sadeghi
Alexander Toshev
Eric Jang
Sergey Levine
61
99
0
20 Dec 2017
Incremental Adversarial Domain Adaptation for Continually Changing
  Environments
Incremental Adversarial Domain Adaptation for Continually Changing Environments
Markus Wulfmeier
Alex Bewley
Ingmar Posner
CLL
67
129
0
20 Dec 2017
On the Effectiveness of Least Squares Generative Adversarial Networks
On the Effectiveness of Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
69
160
0
18 Dec 2017
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