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Improving MMD-GAN Training with Repulsive Loss Function

Improving MMD-GAN Training with Repulsive Loss Function

24 December 2018
Wei Wang
Yuan Sun
Saman K. Halgamuge
    GAN
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Papers citing "Improving MMD-GAN Training with Repulsive Loss Function"

32 / 32 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
143
30,069
0
01 Mar 2022
On gradient regularizers for MMD GANs
On gradient regularizers for MMD GANs
Michael Arbel
Danica J. Sutherland
Mikolaj Binkowski
Arthur Gretton
55
94
0
29 May 2018
Lipschitz regularity of deep neural networks: analysis and efficient
  estimation
Lipschitz regularity of deep neural networks: analysis and efficient estimation
Kevin Scaman
Aladin Virmaux
62
523
0
28 May 2018
The Singular Values of Convolutional Layers
The Singular Values of Convolutional Layers
Hanie Sedghi
Vineet Gupta
Philip M. Long
FAtt
67
200
0
26 May 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
111
3,710
0
21 May 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
135
4,421
0
16 Feb 2018
cGANs with Projection Discriminator
cGANs with Projection Discriminator
Takeru Miyato
Masanori Koyama
GAN
53
768
0
15 Feb 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation
  Invariance for Deep Neural Networks
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks
Yusuke Tsuzuku
Issei Sato
Masashi Sugiyama
AAML
73
301
0
12 Feb 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
88
1,478
0
04 Jan 2018
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
100
7,318
0
27 Oct 2017
Class-Splitting Generative Adversarial Networks
Class-Splitting Generative Adversarial Networks
G. Grinblat
Lucas C. Uzal
P. Granitto
GAN
34
35
0
21 Sep 2017
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Thomas Unterthiner
Bernhard Nessler
Calvin Seward
Günter Klambauer
M. Heusel
Hubert Ramsauer
Sepp Hochreiter
GAN
55
74
0
29 Aug 2017
Gradient descent GAN optimization is locally stable
Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan
J. Zico Kolter
GAN
62
348
0
13 Jun 2017
Approximation and Convergence Properties of Generative Adversarial
  Learning
Approximation and Convergence Properties of Generative Adversarial Learning
Shuang Liu
Olivier Bousquet
Kamalika Chaudhuri
25
137
0
24 May 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network
MMD GAN: Towards Deeper Understanding of Moment Matching Network
Chun-Liang Li
Wei-Cheng Chang
Yu Cheng
Yiming Yang
Barnabás Póczós
GAN
50
720
0
24 May 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
130
9,509
0
31 Mar 2017
Adversarial Learning for Neural Dialogue Generation
Adversarial Learning for Neural Dialogue Generation
Jiwei Li
Will Monroe
Tianlin Shi
Sébastien Jean
Alan Ritter
Dan Jurafsky
42
898
0
23 Jan 2017
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
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
Amortised MAP Inference for Image Super-resolution
Amortised MAP Inference for Image Super-resolution
C. Sønderby
Jose Caballero
Lucas Theis
Wenzhe Shi
Ferenc Huszár
70
435
0
14 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
368
8,999
0
10 Jun 2016
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
111
3,089
0
10 Jun 2016
A guide to convolution arithmetic for deep learning
A guide to convolution arithmetic for deep learning
Vincent Dumoulin
Francesco Visin
FAtt
3DH
HAI
39
1,536
0
23 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
478
27,231
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
GAN
OOD
232
13,968
0
19 Nov 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning
  with Humans in the Loop
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Feng Yu
Ari Seff
Yinda Zhang
Shuran Song
Thomas Funkhouser
Jianxiong Xiao
49
2,320
0
10 Jun 2015
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
76
528
0
14 May 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
300
43,154
0
11 Feb 2015
Generative Moment Matching Networks
Generative Moment Matching Networks
Yujia Li
Kevin Swersky
R. Zemel
OOD
GAN
90
844
0
10 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
808
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
207
8,351
0
28 Nov 2014
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