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A Cyclically-Trained Adversarial Network for Invariant Representation
  Learning

A Cyclically-Trained Adversarial Network for Invariant Representation Learning

21 June 2019
Jiawei Chen
Janusz Konrad
Prakash Ishwar
    AAML
    GAN
    OOD
ArXivPDFHTML

Papers citing "A Cyclically-Trained Adversarial Network for Invariant Representation Learning"

26 / 26 papers shown
Title
PuVAE: A Variational Autoencoder to Purify Adversarial Examples
PuVAE: A Variational Autoencoder to Purify Adversarial Examples
Uiwon Hwang
Jaewoo Park
Hyemi Jang
Sungroh Yoon
N. Cho
AAML
44
77
0
02 Mar 2019
Domain Generalization via Conditional Invariant Representation
Domain Generalization via Conditional Invariant Representation
Ya Li
Biwei Huang
Xinmei Tian
Tongliang Liu
Dacheng Tao
AI4CE
OOD
113
256
0
23 Jul 2018
Disentangling Factors of Variation with Cycle-Consistent Variational
  Auto-Encoders
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders
A. Jha
Saket Anand
Maneesh Kumar Singh
V. Veeravasarapu
CoGe
DRL
55
126
0
27 Apr 2018
Understanding disentangling in $β$-VAE
Understanding disentangling in βββ-VAE
Christopher P. Burgess
I. Higgins
Arka Pal
Loic Matthey
Nicholas Watters
Guillaume Desjardins
Alexander Lerchner
CoGe
DRL
52
828
0
10 Apr 2018
VGAN-Based Image Representation Learning for Privacy-Preserving Facial
  Expression Recognition
VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition
Jiawei Chen
Janusz Konrad
Prakash Ishwar
PICV
25
94
0
19 Mar 2018
StarGAN: Unified Generative Adversarial Networks for Multi-Domain
  Image-to-Image Translation
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Yunjey Choi
Min-Je Choi
M. Kim
Jung-Woo Ha
Sunghun Kim
Jaegul Choo
GAN
108
3,547
0
24 Nov 2017
Disentangling Factors of Variation by Mixing Them
Disentangling Factors of Variation by Mixing Them
Qiyang Hu
Attila Szabó
Tiziano Portenier
Matthias Zwicker
Paolo Favaro
OCL
CoGe
DRL
43
76
0
20 Nov 2017
A Two-Step Disentanglement Method
A Two-Step Disentanglement Method
Naama Hadad
Lior Wolf
Shimon Shahar
53
79
0
01 Sep 2017
Towards the Automatic Anime Characters Creation with Generative
  Adversarial Networks
Towards the Automatic Anime Characters Creation with Generative Adversarial Networks
Yanghua Jin
Jiakai Zhang
Minjun Li
Yingtao Tian
Huachun Zhu
Zhihao Fang
GAN
CVBM
58
187
0
18 Aug 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
96
545
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
76
291
0
31 May 2017
Disentangling factors of variation in deep representations using
  adversarial training
Disentangling factors of variation in deep representations using adversarial training
Michaël Mathieu
Jiaqi Zhao
Pablo Sprechmann
Aditya A. Ramesh
Yann LeCun
DRL
CML
87
490
0
10 Nov 2016
Delving into Transferable Adversarial Examples and Black-box Attacks
Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu
Xinyun Chen
Chang-rui Liu
D. Song
AAML
133
1,727
0
08 Nov 2016
Semi-Coupled Two-Stream Fusion ConvNets for Action Recognition at
  Extremely Low Resolutions
Semi-Coupled Two-Stream Fusion ConvNets for Action Recognition at Extremely Low Resolutions
Jiawei Chen
Jonathan Wu
Janusz Konrad
Prakash Ishwar
40
45
0
12 Oct 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
150
4,224
0
12 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
441
8,999
0
10 Jun 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
122
3,527
0
28 Mar 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
137
1,917
0
24 Feb 2016
Autoencoding beyond pixels using a learned similarity metric
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
157
2,061
0
31 Dec 2015
Censoring Representations with an Adversary
Censoring Representations with an Adversary
Harrison Edwards
Amos Storkey
AAML
FaML
57
504
0
18 Nov 2015
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
357
9,418
0
28 May 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
208
18,922
0
20 Dec 2014
Learning unbiased features
Learning unbiased features
Yujia Li
Kevin Swersky
R. Zemel
OOD
SSL
FaML
60
70
0
17 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
397
16,962
0
20 Dec 2013
Efficient Learning of Domain-invariant Image Representations
Efficient Learning of Domain-invariant Image Representations
Judy Hoffman
E. Rodner
Jeff Donahue
Trevor Darrell
Kate Saenko
OOD
73
295
0
15 Jan 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
202
12,384
0
24 Jun 2012
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