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InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

12 June 2016
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
    GAN
ArXiv (abs)PDFHTML

Papers citing "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

37 / 1,937 papers shown
Learning Particle Physics by Example: Location-Aware Generative
  Adversarial Networks for Physics Synthesis
Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics SynthesisComputing and Software for Big Science (CSBS), 2017
Luke de Oliveira
Michela Paganini
Benjamin Nachman
GANAI4CE
237
300
0
20 Jan 2017
Image Generation and Editing with Variational Info Generative
  AdversarialNetworks
Image Generation and Editing with Variational Info Generative AdversarialNetworks
Mahesh Gorijala
Ambedkar Dukkipati
GAN
129
15
0
17 Jan 2017
AdaGAN: Boosting Generative Models
AdaGAN: Boosting Generative ModelsNeural Information Processing Systems (NeurIPS), 2017
Ilya O. Tolstikhin
Sylvain Gelly
Olivier Bousquet
Carl-Johann Simon-Gabriel
Bernhard Schölkopf
GAN
372
229
0
09 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
625
1,795
0
31 Dec 2016
MARTA GANs: Unsupervised Representation Learning for Remote Sensing
  Image Classification
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image ClassificationIEEE Geoscience and Remote Sensing Letters (GRSL), 2016
Daoyu Lin
Kun Fu
Yang Wang
Guangluan Xu
Xian Sun
GAN
168
185
0
28 Dec 2016
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial TrainingComputer Vision and Pattern Recognition (CVPR), 2016
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
276
1,865
0
22 Dec 2016
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial NetworksComputer Vision and Pattern Recognition (CVPR), 2016
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OODGAN
542
1,599
0
16 Dec 2016
Learning Residual Images for Face Attribute Manipulation
Learning Residual Images for Face Attribute ManipulationComputer Vision and Pattern Recognition (CVPR), 2016
Wei Shen
Rujie Liu
CVBMGAN
280
261
0
16 Dec 2016
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Shouqing Yang
Omid Poursaeed
John E. Hopcroft
Serge J. Belongie
GAN
417
465
0
13 Dec 2016
StackGAN: Text to Photo-realistic Image Synthesis with Stacked
  Generative Adversarial Networks
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Jiaming Song
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
353
2,889
0
10 Dec 2016
Message Passing Multi-Agent GANs
Message Passing Multi-Agent GANs
Arna Ghosh
Viveka Kulharia
Vinay P. Namboodiri
AI4CEGAN
145
19
0
05 Dec 2016
Ensembles of Generative Adversarial Networks
Ensembles of Generative Adversarial Networks
Yaxing Wang
Lichao Zhang
Joost van de Weijer
GAN
182
55
0
03 Dec 2016
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CEOCL
665
455
0
01 Dec 2016
Invertible Conditional GANs for image editing
Invertible Conditional GANs for image editing
Guim Perarnau
Joost van de Weijer
Bogdan Raducanu
J. Álvarez
GAN
200
667
0
19 Nov 2016
Inverting The Generator Of A Generative Adversarial Network
Inverting The Generator Of A Generative Adversarial Network
Antonia Creswell
Anil Anthony Bharath
GAN
399
364
0
17 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
BDLDRL
369
808
0
16 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
896
4,916
0
13 Nov 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational
  Autoencoders
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Nat Dilokthanakul
P. Mediano
M. Garnelo
M. J. Lee
Hugh Salimbeni
Kai Arulkumaran
Murray Shanahan
DRL
333
699
0
08 Nov 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
465
1,055
0
07 Nov 2016
Generative Multi-Adversarial Networks
Generative Multi-Adversarial Networks
Ishan Durugkar
I. Gemp
Sridhar Mahadevan
GAN
239
360
0
05 Nov 2016
Ways of Conditioning Generative Adversarial Networks
Ways of Conditioning Generative Adversarial Networks
Hanock Kwak
Byoung-Tak Zhang
GAN
102
17
0
04 Nov 2016
RenderGAN: Generating Realistic Labeled Data
RenderGAN: Generating Realistic Labeled Data
Leon Sixt
Benjamin Wild
Tim Landgraf
GAN
580
179
0
04 Nov 2016
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
1.1K
5,952
0
03 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
1.1K
3,444
0
30 Oct 2016
Towards a continuous modeling of natural language domains
Towards a continuous modeling of natural language domains
Sebastian Ruder
Parsa Ghaffari
J. Breslin
80
9
0
28 Oct 2016
Learning to Protect Communications with Adversarial Neural Cryptography
Learning to Protect Communications with Adversarial Neural Cryptography
Martín Abadi
David G. Andersen
FedMLGAN
150
228
0
21 Oct 2016
Deep Identity-aware Transfer of Facial Attributes
Deep Identity-aware Transfer of Facial Attributes
Mu Li
W. Zuo
David C. Zhang
CVBM
265
151
0
18 Oct 2016
Deep Variational Canonical Correlation Analysis
Deep Variational Canonical Correlation Analysis
Weiran Wang
Xinchen Yan
Honglak Lee
Karen Livescu
DRLBDL
276
151
0
11 Oct 2016
Connecting Generative Adversarial Networks and Actor-Critic Methods
Connecting Generative Adversarial Networks and Actor-Critic Methods
David Pfau
Oriol Vinyals
OffRLAI4CE
318
189
0
06 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
284
145
0
29 Sep 2016
Task Specific Adversarial Cost Function
Task Specific Adversarial Cost Function
Antonia Creswell
Anil A. Bharath
AAMLGAN
177
13
0
27 Sep 2016
Towards Deep Symbolic Reinforcement Learning
Towards Deep Symbolic Reinforcement Learning
M. Garnelo
Kai Arulkumaran
Murray Shanahan
254
232
0
18 Sep 2016
Inverting Variational Autoencoders for Improved Generative Accuracy
Inverting Variational Autoencoders for Improved Generative Accuracy
I. Gemp
Ishan Durugkar
M. Parente
M. Dyar
Sridhar Mahadevan
DRLGAN
213
3
0
21 Aug 2016
Enlightening Deep Neural Networks with Knowledge of Confounding Factors
Enlightening Deep Neural Networks with Knowledge of Confounding Factors
Yu Zhong
G. Ettinger
138
25
0
08 Jul 2016
Adversarially Learned Inference
Adversarially Learned InferenceInternational Conference on Learning Representations (ICLR), 2016
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
787
1,337
0
02 Jun 2016
Conditional Similarity Networks
Conditional Similarity Networks
Andreas Veit
Serge J. Belongie
Theofanis Karaletsos
177
8
0
25 Mar 2016
Generative Adversarial Networks
Generative Adversarial NetworksNeural Information Processing Systems (NeurIPS), 2014
Ian Goodfellow
Jean Pouget-Abadie
M. Berk Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
GAN
374
2,290
0
10 Jun 2014
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