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Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

19 November 2015
Alec Radford
Luke Metz
Soumith Chintala
    GAN
    OOD
ArXivPDFHTML

Papers citing "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks"

50 / 2,063 papers shown
Title
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,494
0
21 Nov 2016
Semi-Supervised Learning with Context-Conditional Generative Adversarial
  Networks
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
Emily L. Denton
Sam Gross
Rob Fergus
GAN
27
150
0
19 Nov 2016
Associative Adversarial Networks
Associative Adversarial Networks
Tarik Arici
Asli Celikyilmaz
GAN
34
17
0
18 Nov 2016
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network
  for Fast Artistic Style Transfer
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer
Xin Eric Wang
Geoffrey Oxholm
Da Zhang
Yuan-fang Wang
GAN
OffRL
24
168
0
17 Nov 2016
Deep Feature Interpolation for Image Content Changes
Deep Feature Interpolation for Image Content Changes
P. Upchurch
Jacob V. Gardner
Geoff Pleiss
Robert Pless
Noah Snavely
Kavita Bala
Kilian Q. Weinberger
36
304
0
16 Nov 2016
Variational Deep Embedding: An Unsupervised and Generative Approach to
  Clustering
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang
Yin Zheng
Huachun Tan
Bangsheng Tang
Hanning Zhou
BDL
DRL
30
724
0
16 Nov 2016
One-to-Many Network for Visually Pleasing Compression Artifacts
  Reduction
One-to-Many Network for Visually Pleasing Compression Artifacts Reduction
Jun Guo
Hongyang Chao
45
89
0
15 Nov 2016
On the Quantitative Analysis of Decoder-Based Generative Models
On the Quantitative Analysis of Decoder-Based Generative Models
Yuhuai Wu
Yuri Burda
Ruslan Salakhutdinov
Roger C. Grosse
GAN
22
223
0
14 Nov 2016
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
145
4,539
0
13 Nov 2016
GANS for Sequences of Discrete Elements with the Gumbel-softmax
  Distribution
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution
Matt J. Kusner
José Miguel Hernández-Lobato
GAN
24
326
0
12 Nov 2016
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
53
489
0
10 Nov 2016
Unsupervised Cross-Domain Image Generation
Unsupervised Cross-Domain Image Generation
Yaniv Taigman
Adam Polyak
Lior Wolf
GAN
OOD
38
996
0
07 Nov 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
59
1,000
0
07 Nov 2016
Generative Adversarial Networks as Variational Training of Energy Based
  Models
Generative Adversarial Networks as Variational Training of Energy Based Models
Shuangfei Zhai
Yu Cheng
Rogerio Feris
Zhongfei Zhang
GAN
14
30
0
06 Nov 2016
Learning to Draw Samples: With Application to Amortized MLE for
  Generative Adversarial Learning
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
Dilin Wang
Qiang Liu
GAN
BDL
38
118
0
06 Nov 2016
Generative Multi-Adversarial Networks
Generative Multi-Adversarial Networks
Ishan Durugkar
I. Gemp
Sridhar Mahadevan
GAN
36
342
0
05 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for
  Robotics
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
J. M. Wong
27
11
0
01 Nov 2016
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
83
392
0
20 Oct 2016
Deep Identity-aware Transfer of Facial Attributes
Deep Identity-aware Transfer of Facial Attributes
Mu Li
W. Zuo
David C. Zhang
CVBM
35
149
0
18 Oct 2016
Amortised MAP Inference for Image Super-resolution
Amortised MAP Inference for Image Super-resolution
C. Sønderby
Jose Caballero
Lucas Theis
Wenzhe Shi
Ferenc Huszár
41
433
0
14 Oct 2016
Learning in Implicit Generative Models
Learning in Implicit Generative Models
S. Mohamed
Balaji Lakshminarayanan
GAN
25
412
0
11 Oct 2016
Learning Deep Generative Spatial Models for Mobile Robots
Learning Deep Generative Spatial Models for Mobile Robots
Andrzej Pronobis
Rajesh P. N. Rao
GAN
22
41
0
09 Oct 2016
Learning What and Where to Draw
Learning What and Where to Draw
Scott E. Reed
Zeynep Akata
S. Mohan
Samuel Tenka
Bernt Schiele
Honglak Lee
DRL
GAN
30
618
0
08 Oct 2016
Automatic chemical design using a data-driven continuous representation
  of molecules
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli
Jennifer N. Wei
David Duvenaud
José Miguel Hernández-Lobato
Benjamín Sánchez-Lengeling
Dennis Sheberla
J. Aguilera-Iparraguirre
Timothy D. Hirzel
Ryan P. Adams
Alán Aspuru-Guzik
3DV
79
2,891
0
07 Oct 2016
Cooperative Training of Descriptor and Generator Networks
Cooperative Training of Descriptor and Generator Networks
Jianwen Xie
Yang Lu
Ruiqi Gao
Song-Chun Zhu
Ying Nian Wu
GAN
26
140
0
29 Sep 2016
Example-Based Image Synthesis via Randomized Patch-Matching
Example-Based Image Synthesis via Randomized Patch-Matching
Yi Ren
Yaniv Romano
Michael Elad
3DV
28
9
0
23 Sep 2016
Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
GAN
27
457
0
22 Sep 2016
Is the deconvolution layer the same as a convolutional layer?
Is the deconvolution layer the same as a convolutional layer?
Wenzhe Shi
Jose Caballero
Lucas Theis
Ferenc Huszár
Andrew P. Aitken
C. Ledig
Zehan Wang
33
139
0
22 Sep 2016
Enabling Dark Energy Science with Deep Generative Models of Galaxy
  Images
Enabling Dark Energy Science with Deep Generative Models of Galaxy Images
Siamak Ravanbakhsh
F. Lanusse
Rachel Mandelbaum
J. Schneider
Barnabás Póczós
36
65
0
19 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
102
10,608
0
15 Sep 2016
Sampling Generative Networks
Sampling Generative Networks
Tom White
GAN
27
68
0
14 Sep 2016
Energy-based Generative Adversarial Network
Energy-based Generative Adversarial Network
Jiaqi Zhao
Michaël Mathieu
Yann LeCun
GAN
91
1,109
0
11 Sep 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GAN
VGen
106
1,462
0
08 Sep 2016
Learning Temporal Transformations From Time-Lapse Videos
Learning Temporal Transformations From Time-Lapse Videos
Yipin Zhou
Tamara L. Berg
30
148
0
27 Aug 2016
Towards cross-lingual distributed representations without parallel text
  trained with adversarial autoencoders
Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
Antonio Valerio Miceli Barone
16
120
0
09 Aug 2016
Learning a Driving Simulator
Learning a Driving Simulator
Eder Santana
George Hotz
GAN
28
226
0
03 Aug 2016
Semantic Image Inpainting with Deep Generative Models
Semantic Image Inpainting with Deep Generative Models
Raymond A. Yeh
Chen Chen
Teck-Yian Lim
Alex Schwing
M. Hasegawa-Johnson
Minh Do
GAN
VLM
48
1,169
0
26 Jul 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross
  Convolutional Networks
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Tianfan Xue
Jiajun Wu
Katherine Bouman
Bill Freeman
43
416
0
09 Jul 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming Liu
Oncel Tuzel
OOD
GAN
43
1,624
0
24 Jun 2016
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
Xu-Yao Zhang
Fei Yin
Yanming Zhang
Cheng-Lin Liu
Yoshua Bengio
50
320
0
21 Jun 2016
Inverting face embeddings with convolutional neural networks
Inverting face embeddings with convolutional neural networks
A. Zhmoginov
Mark Sandler
3DH
CVBM
17
67
0
14 Jun 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
106
4,215
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
173
8,937
0
10 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
20
1,310
0
02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
55
141
0
31 May 2016
The Latin American Giant Observatory: a successful collaboration in
  Latin America based on Cosmic Rays and computer science domains
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains
Hernán Asorey
R. Mayo-García
L. Núñez
M. Pascual
A. J. Rubio-Montero
M. Suárez-Durán
L. A. Torres-Niño
31
5
0
30 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
97
3,649
0
26 May 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
52
929
0
25 May 2016
Precomputed Real-Time Texture Synthesis with Markovian Generative
  Adversarial Networks
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
Chuan Li
Michael Wand
GAN
42
1,431
0
15 Apr 2016
The Curious Robot: Learning Visual Representations via Physical
  Interactions
The Curious Robot: Learning Visual Representations via Physical Interactions
Lerrel Pinto
Dhiraj Gandhi
Yuanfeng Han
Yong‐Lae Park
Abhinav Gupta
26
186
0
05 Apr 2016
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