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Generalization and Equilibrium in Generative Adversarial Nets (GANs)

Generalization and Equilibrium in Generative Adversarial Nets (GANs)

2 March 2017
Sanjeev Arora
Rong Ge
Yingyu Liang
Tengyu Ma
Yi Zhang
    GAN
ArXivPDFHTML

Papers citing "Generalization and Equilibrium in Generative Adversarial Nets (GANs)"

17 / 17 papers shown
Title
Statistical Guarantees of Group-Invariant GANs
Statistical Guarantees of Group-Invariant GANs
Ziyu Chen
Markos A. Katsoulakis
Luc Rey-Bellet
Wei-wei Zhu
120
2
0
22 May 2023
GAN Ensemble for Anomaly Detection
GAN Ensemble for Anomaly Detection
Xu Han
Xiaohui Chen
Liping Liu
43
64
0
14 Dec 2020
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
48
41
0
28 Oct 2019
Do GANs actually learn the distribution? An empirical study
Do GANs actually learn the distribution? An empirical study
Sanjeev Arora
Yi Zhang
35
191
0
26 Jun 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
140
4,822
0
26 Jan 2017
AdaGAN: Boosting Generative Models
AdaGAN: Boosting Generative Models
Ilya O. Tolstikhin
Sylvain Gelly
Olivier Bousquet
Carl-Johann Simon-Gabriel
Bernhard Schölkopf
GAN
36
226
0
09 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
101
1,721
0
31 Dec 2016
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
John E. Hopcroft
Serge J. Belongie
GAN
54
459
0
13 Dec 2016
Generative Adversarial Parallelization
Generative Adversarial Parallelization
Daniel Jiwoong Im
He Ma
C. Kim
Graham W. Taylor
GAN
49
38
0
13 Dec 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
GAN
BDL
105
119
0
06 Nov 2016
Generative Multi-Adversarial Networks
Generative Multi-Adversarial Networks
Ishan Durugkar
I. Gemp
Sridhar Mahadevan
GAN
55
342
0
05 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
380
3,204
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
FedML
GAN
56
212
0
21 Oct 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
374
8,999
0
10 Jun 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
GAN
OOD
232
13,968
0
19 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
862
149,474
0
22 Dec 2014
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
212
8,351
0
28 Nov 2014
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