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MMGAN: Manifold Matching Generative Adversarial Network
v1v2v3v4 (latest)

MMGAN: Manifold Matching Generative Adversarial Network

26 July 2017
Noseong Park
A. Anand
Joel Ruben Antony Moniz
Kookjin Lee
Tanmoy Chakraborty
Jaegul Choo
Hongkyu Park
Youngmin Kim
    GAN
ArXiv (abs)PDFHTML

Papers citing "MMGAN: Manifold Matching Generative Adversarial Network"

16 / 16 papers shown
Title
Variational Approaches for Auto-Encoding Generative Adversarial Networks
Variational Approaches for Auto-Encoding Generative Adversarial Networks
Mihaela Rosca
Balaji Lakshminarayanan
David Warde-Farley
S. Mohamed
DRLGAN
76
265
0
15 Jun 2017
The Cramer Distance as a Solution to Biased Wasserstein Gradients
The Cramer Distance as a Solution to Biased Wasserstein Gradients
Marc G. Bellemare
Ivo Danihelka
Will Dabney
S. Mohamed
Balaji Lakshminarayanan
Stephan Hoyer
Rémi Munos
GAN
82
344
0
30 May 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
87
170
0
27 Feb 2017
McGan: Mean and Covariance Feature Matching GAN
McGan: Mean and Covariance Feature Matching GAN
Youssef Mroueh
Tom Sercu
Vaibhava Goel
GAN
68
159
0
27 Feb 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
177
4,827
0
26 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
83
2,112
0
17 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
175
1,725
0
31 Dec 2016
Energy-based Generative Adversarial Network
Energy-based Generative Adversarial Network
Jiaqi Zhao
Michaël Mathieu
Yann LeCun
GAN
141
1,114
0
11 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
486
9,073
0
10 Jun 2016
Deep Directed Generative Models with Energy-Based Probability Estimation
Deep Directed Generative Models with Energy-Based Probability Estimation
Taesup Kim
Yoshua Bengio
GAN
66
136
0
10 Jun 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
289
11,150
0
14 Mar 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,416
0
02 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
271
14,027
0
19 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
467
43,347
0
11 Feb 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
247
8,429
0
28 Nov 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
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