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Variance Regularizing Adversarial Learning

2 July 2017
Karan Grewal
R. Devon Hjelm
Yoshua Bengio
    GAN
    AAML
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Papers citing "Variance Regularizing Adversarial Learning"

7 / 7 papers shown
Title
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
195
9,545
0
31 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
55
170
0
27 Feb 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
79
2,105
0
17 Jan 2017
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
329
4,572
0
13 Nov 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
478
9,044
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
143
1,655
0
02 Jun 2016
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
171
1,103
0
11 Dec 2013
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