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Improved Techniques for Training GANs

Improved Techniques for Training GANs

10 June 2016
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
    GAN
ArXiv (abs)PDFHTML

Papers citing "Improved Techniques for Training GANs"

41 / 4,341 papers shown
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
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
268
326
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
BDLDRL
369
808
0
16 Nov 2016
PixelVAE: A Latent Variable Model for Natural Images
PixelVAE: A Latent Variable Model for Natural Images
Ishaan Gulrajani
Kundan Kumar
Faruk Ahmed
Adrien Ali Taïga
Francesco Visin
David Vazquez
Aaron Courville
DRLSSLBDL
246
354
0
15 Nov 2016
Generative Models and Model Criticism via Optimized Maximum Mean
  Discrepancy
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
Danica J. Sutherland
H. Tung
Heiko Strathmann
Soumyajit De
Aaditya Ramdas
Alex Smola
Arthur Gretton
567
276
0
14 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
333
225
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
899
4,916
0
13 Nov 2016
Unsupervised Cross-Domain Image Generation
Unsupervised Cross-Domain Image Generation
Yaniv Taigman
Adam Polyak
Lior Wolf
GANOOD
355
1,033
0
07 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
AC-BLSTM: Asymmetric Convolutional Bidirectional LSTM Networks for Text
  Classification
AC-BLSTM: Asymmetric Convolutional Bidirectional LSTM Networks for Text Classification
Depeng Liang
Yongdong Zhang
225
23
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
138
32
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
GANBDL
277
120
0
06 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
Semi-supervised deep learning by metric embedding
Semi-supervised deep learning by metric embedding
Elad Hoffer
Nir Ailon
SSL
188
28
0
04 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
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
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
429
457
0
20 Oct 2016
Semi-supervised Knowledge Transfer for Deep Learning from Private
  Training Data
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Nicolas Papernot
Martín Abadi
Ulfar Erlingsson
Ian Goodfellow
Kunal Talwar
517
1,093
0
18 Oct 2016
Amortised MAP Inference for Image Super-resolution
Amortised MAP Inference for Image Super-resolutionInternational Conference on Learning Representations (ICLR), 2016
C. Sønderby
Jose Caballero
Lucas Theis
Wenzhe Shi
Ferenc Huszár
353
444
0
14 Oct 2016
Learning in Implicit Generative Models
Learning in Implicit Generative Models
S. Mohamed
Balaji Lakshminarayanan
GAN
480
428
0
11 Oct 2016
Generative Adversarial Nets from a Density Ratio Estimation Perspective
Generative Adversarial Nets from a Density Ratio Estimation Perspective
Masatoshi Uehara
Issei Sato
Masahiro Suzuki
Kotaro Nakayama
Y. Matsuo
GAN
313
104
0
10 Oct 2016
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised LearningInternational Conference on Learning Representations (ICLR), 2016
S. Laine
Timo Aila
UQCV
552
2,767
0
07 Oct 2016
DeepDGA: Adversarially-Tuned Domain Generation and Detection
DeepDGA: Adversarially-Tuned Domain Generation and Detection
Hyrum S. Anderson
Jonathan Woodbridge
Bobby Filar
AAML
260
214
0
06 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
Deep unsupervised learning through spatial contrasting
Deep unsupervised learning through spatial contrasting
Elad Hoffer
Itay Hubara
Nir Ailon
SSL
190
23
0
02 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
Example-Based Image Synthesis via Randomized Patch-Matching
Example-Based Image Synthesis via Randomized Patch-Matching
Yi Ren
Yaniv Romano
Michael Elad
3DV
114
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
460
474
0
22 Sep 2016
The Many-Body Expansion Combined with Neural Networks
The Many-Body Expansion Combined with Neural Networks
Kun Yao
John E. Herr
John A. Parkhill
202
103
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
196
66
0
19 Sep 2016
Energy-based Generative Adversarial Network
Energy-based Generative Adversarial Network
Jiaqi Zhao
Michaël Mathieu
Yann LeCun
GAN
519
1,135
0
11 Sep 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
177
121
0
09 Aug 2016
Adversarial Training For Sketch Retrieval
Adversarial Training For Sketch Retrieval
Antonia Creswell
Anil Anthony Bharath
GAN
213
48
0
10 Jul 2016
Semi-Supervised Learning with Generative Adversarial Networks
Semi-Supervised Learning with Generative Adversarial Networks
Augustus Odena
GAN
273
716
0
05 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence MinimizationNeural Information Processing Systems (NeurIPS), 2016
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
623
1,756
0
02 Jun 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
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
743
5,734
0
22 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
717
14,823
0
19 Nov 2015
Neural Simpletrons - Minimalistic Directed Generative Networks for
  Learning with Few Labels
Neural Simpletrons - Minimalistic Directed Generative Networks for Learning with Few Labels
D. Forster
Abdul-Saboor Sheikh
Jörg Lücke
BDL
298
14
0
28 Jun 2015
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