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1803.01045
Cited By
Quantitatively Evaluating GANs With Divergences Proposed for Training
2 March 2018
Daniel Jiwoong Im
He Ma
Graham W. Taylor
K. Branson
EGVM
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Papers citing
"Quantitatively Evaluating GANs With Divergences Proposed for Training"
31 / 31 papers shown
Title
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
M. Heusel
Hubert Ramsauer
Thomas Unterthiner
Bernhard Nessler
Sepp Hochreiter
74
465
0
26 Jun 2017
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
70
344
0
30 May 2017
The Numerics of GANs
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GAN
84
456
0
30 May 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network
Chun-Liang Li
Wei-Cheng Chang
Yu Cheng
Yiming Yang
Barnabás Póczós
GAN
66
722
0
24 May 2017
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
Ivo Danihelka
Balaji Lakshminarayanan
Benigno Uria
Daan Wierstra
Peter Dayan
GAN
50
53
0
15 May 2017
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
195
9,545
0
31 Mar 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks
David Berthelot
Tom Schumm
Luke Metz
GAN
100
1,154
0
31 Mar 2017
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora
Rong Ge
Yingyu Liang
Tengyu Ma
Yi Zhang
GAN
54
688
0
02 Mar 2017
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
79
2,105
0
17 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
163
1,723
0
31 Dec 2016
Generative Adversarial Parallelization
Daniel Jiwoong Im
He Ma
C. Kim
Graham W. Taylor
GAN
60
38
0
13 Dec 2016
An empirical analysis of the optimization of deep network loss surfaces
Daniel Jiwoong Im
Michael Tao
K. Branson
ODL
53
63
0
13 Dec 2016
Mode Regularized Generative Adversarial Networks
Tong Che
Yanran Li
Athul Paul Jacob
Yoshua Bengio
Wenjie Li
GAN
101
554
0
07 Dec 2016
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
Danica J. Sutherland
H. Tung
Heiko Strathmann
Soumyajit De
Aaditya Ramdas
Alex Smola
Arthur Gretton
108
260
0
14 Nov 2016
On the Quantitative Analysis of Decoder-Based Generative Models
Yuhuai Wu
Yuri Burda
Ruslan Salakhutdinov
Roger C. Grosse
GAN
73
223
0
14 Nov 2016
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
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
155
402
0
20 Oct 2016
Energy-based Generative Adversarial Network
Jiaqi Zhao
Michaël Mathieu
Yann LeCun
GAN
133
1,114
0
11 Sep 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
760
36,781
0
25 Aug 2016
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
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
143
1,655
0
02 Jun 2016
Generating images with recurrent adversarial networks
Daniel Jiwoong Im
C. Kim
Hui Jiang
Roland Memisevic
GAN
49
223
0
16 Feb 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
872
27,350
0
02 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
248
14,005
0
19 Nov 2015
Denoising Criterion for Variational Auto-Encoding Framework
Daniel Jiwoong Im
Sungjin Ahn
Roland Memisevic
Yoshua Bengio
69
195
0
19 Nov 2015
A note on the evaluation of generative models
Lucas Theis
Aaron van den Oord
Matthias Bethge
EGVM
123
1,145
0
05 Nov 2015
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GAN
DRL
161
1,961
0
16 Feb 2015
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRL
BDL
121
2,258
0
30 Oct 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,330
0
04 Sep 2014
Neural Variational Inference and Learning in Belief Networks
A. Mnih
Karol Gregor
BDL
171
730
0
31 Jan 2014
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