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Improved Training of Wasserstein GANs
v1v2v3 (latest)

Improved Training of Wasserstein GANs

31 March 2017
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
    GAN
ArXiv (abs)PDFHTML

Papers citing "Improved Training of Wasserstein GANs"

38 / 88 papers shown
Title
Self-supervised Deformation Modeling for Facial Expression Editing
Self-supervised Deformation Modeling for Facial Expression Editing
ShahRukh Athar
Zhixin Shu
Dimitris Samaras
CVBM3DH
61
13
0
02 Nov 2019
Quantum Optical Experiments Modeled by Long Short-Term Memory
Quantum Optical Experiments Modeled by Long Short-Term Memory
Thomas Adler
Manuel Erhard
Mario Krenn
Johannes Brandstetter
Johannes Kofler
Sepp Hochreiter
59
9
0
30 Oct 2019
On the Benefit of Adversarial Training for Monocular Depth Estimation
On the Benefit of Adversarial Training for Monocular Depth Estimation
R. Groenendijk
Sezer Karaoglu
Theo Gevers
Thomas Mensink
GANMDE
130
29
0
29 Oct 2019
Highly-scalable, physics-informed GANs for learning solutions of
  stochastic PDEs
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
Liu Yang
Sean Treichler
Thorsten Kurth
Keno Fischer
D. Barajas-Solano
...
Valentin Churavy
A. Tartakovsky
Michael Houston
P. Prabhat
George Karniadakis
AI4CE
76
38
0
29 Oct 2019
Poincaré Recurrence, Cycles and Spurious Equilibria in
  Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Lampros Flokas
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Georgios Piliouras
MLT
79
41
0
28 Oct 2019
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GANAAML
183
601
0
31 Oct 2017
Approximation and Convergence Properties of Generative Adversarial
  Learning
Approximation and Convergence Properties of Generative Adversarial Learning
Shuang Liu
Olivier Bousquet
Kamalika Chaudhuri
51
138
0
24 May 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks
BEGAN: Boundary Equilibrium Generative Adversarial Networks
David Berthelot
Tom Schumm
Luke Metz
GAN
100
1,154
0
31 Mar 2017
Recurrent Topic-Transition GAN for Visual Paragraph Generation
Recurrent Topic-Transition GAN for Visual Paragraph Generation
Xiaodan Liang
Zhiting Hu
Huatian Zhang
Chuang Gan
Eric Xing
GAN
64
202
0
21 Mar 2017
Improving Neural Machine Translation with Conditional Sequence
  Generative Adversarial Nets
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets
Zhen-Le Yang
Wei Chen
Feng Wang
Bo Xu
GANAI4CE
75
170
0
15 Mar 2017
Boundary-Seeking Generative Adversarial Networks
Boundary-Seeking Generative Adversarial Networks
R. Devon Hjelm
Athul Paul Jacob
Tong Che
Adam Trischler
Kyunghyun Cho
Yoshua Bengio
GAN
62
170
0
27 Feb 2017
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
Tong Che
Yanran Li
Ruixiang Zhang
R. Devon Hjelm
Wenjie Li
Yangqiu Song
Yoshua Bengio
GAN
66
235
0
26 Feb 2017
Calibrating Energy-based Generative Adversarial Networks
Calibrating Energy-based Generative Adversarial Networks
Zihang Dai
Amjad Almahairi
Philip Bachman
Eduard H. Hovy
Aaron Courville
GAN
53
111
0
06 Feb 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
172
4,826
0
26 Jan 2017
Adversarial Learning for Neural Dialogue Generation
Adversarial Learning for Neural Dialogue Generation
Jiwei Li
Will Monroe
Tianlin Shi
Sébastien Jean
Alan Ritter
Dan Jurafsky
63
899
0
23 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
83
2,110
0
17 Jan 2017
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
John E. Hopcroft
Serge J. Belongie
GAN
80
459
0
13 Dec 2016
Improved generator objectives for GANs
Improved generator objectives for GANs
Ben Poole
Alexander A. Alemi
Jascha Narain Sohl-Dickstein
A. Angelova
56
69
0
08 Dec 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
83
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
333
4,575
0
13 Nov 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
100
1,004
0
07 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
116
119
0
06 Nov 2016
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
342
5,372
0
03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
196
2,533
0
02 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
433
3,215
0
30 Oct 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu
Weinan Zhang
Jun Wang
Yong Yu
GAN
72
2,405
0
18 Sep 2016
Instance Normalization: The Missing Ingredient for Fast Stylization
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
177
3,711
0
27 Jul 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
413
10,526
0
21 Jul 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
209
2,513
0
16 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
483
9,062
0
10 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
154
1,658
0
02 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
81
1,314
0
02 Jun 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
194
1,944
0
25 Feb 2016
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
266
14,018
0
19 Nov 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning
  with Humans in the Loop
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Feng Yu
Ari Seff
Yinda Zhang
Shuran Song
Thomas Funkhouser
Jianxiong Xiao
102
2,343
0
10 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
On distinguishability criteria for estimating generative models
On distinguishability criteria for estimating generative models
Ian Goodfellow
GAN
80
139
0
19 Dec 2014
One Billion Word Benchmark for Measuring Progress in Statistical
  Language Modeling
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling
Ciprian Chelba
Tomas Mikolov
M. Schuster
Qi Ge
T. Brants
P. Koehn
T. Robinson
186
1,108
0
11 Dec 2013
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