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On gradient regularizers for MMD GANs

On gradient regularizers for MMD GANs

29 May 2018
Michael Arbel
Danica J. Sutherland
Mikolaj Binkowski
Arthur Gretton
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Papers citing "On gradient regularizers for MMD GANs"

16 / 16 papers shown
Title
An empirical study on evaluation metrics of generative adversarial
  networks
An empirical study on evaluation metrics of generative adversarial networks
Qiantong Xu
Gao Huang
Yang Yuan
Chuan Guo
Yu Sun
Felix Wu
Kilian Q. Weinberger
EGVM
61
271
0
19 Jun 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
122
2,481
0
12 Apr 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
73
1,464
0
13 Jan 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
120
1,490
0
04 Jan 2018
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
61
187
0
18 Aug 2017
Sharp asymptotic and finite-sample rates of convergence of empirical
  measures in Wasserstein distance
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance
Jonathan Niles-Weed
Francis R. Bach
171
421
0
01 Jul 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
175
9,533
0
31 Mar 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks
BEGAN: Boundary Equilibrium Generative Adversarial Networks
David Berthelot
Tom Schumm
Luke Metz
GAN
100
1,153
0
31 Mar 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
150
958
0
01 Mar 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
79
2,106
0
17 Jan 2017
Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
GAN
63
458
0
22 Sep 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
460
9,027
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
127
1,654
0
02 Jun 2016
Training generative neural networks via Maximum Mean Discrepancy
  optimization
Training generative neural networks via Maximum Mean Discrepancy optimization
Gintare Karolina Dziugaite
Daniel M. Roy
Zoubin Ghahramani
GAN
84
530
0
14 May 2015
Generative Moment Matching Networks
Generative Moment Matching Networks
Yujia Li
Kevin Swersky
R. Zemel
OOD
GAN
98
846
0
10 Feb 2015
Universality, Characteristic Kernels and RKHS Embedding of Measures
Universality, Characteristic Kernels and RKHS Embedding of Measures
Bharath K. Sriperumbudur
Kenji Fukumizu
Gert R. G. Lanckriet
195
528
0
03 Mar 2010
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