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A Unified View of cGANs with and without Classifiers

A Unified View of cGANs with and without Classifiers

1 November 2021
Si-An Chen
Chun-Liang Li
Hsuan-Tien Lin
    GAN
ArXiv (abs)PDFHTMLGithub (24★)

Papers citing "A Unified View of cGANs with and without Classifiers"

37 / 37 papers shown
Title
No MCMC for me: Amortized sampling for fast and stable training of
  energy-based models
No MCMC for me: Amortized sampling for fast and stable training of energy-based models
Will Grathwohl
Jacob Kelly
Milad Hashemi
Mohammad Norouzi
Kevin Swersky
David Duvenaud
88
72
0
08 Oct 2020
Hybrid Discriminative-Generative Training via Contrastive Learning
Hybrid Discriminative-Generative Training via Contrastive Learning
Hao Liu
Pieter Abbeel
SSL
76
40
0
17 Jul 2020
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
114
607
0
18 Jun 2020
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Jae Hyun Lim
Aaron Courville
C. Pal
Chin-Wei Huang
DRL
53
23
0
09 Jun 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat
  it Like One
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl
Kuan-Chieh Wang
J. Jacobsen
David Duvenaud
Mohammad Norouzi
Kevin Swersky
VLM
97
547
0
06 Dec 2019
Consistency Regularization for Generative Adversarial Networks
Consistency Regularization for Generative Adversarial Networks
Han Zhang
Zizhao Zhang
Augustus Odena
Honglak Lee
GAN
71
285
0
26 Oct 2019
Variational Conditional GAN for Fine-grained Controllable Image
  Generation
Variational Conditional GAN for Fine-grained Controllable Image Generation
Mingqi Hu
Deyu Zhou
Yulan He
DRL
38
6
0
22 Sep 2019
On Variational Bounds of Mutual Information
On Variational Bounds of Mutual Information
Ben Poole
Sherjil Ozair
Aaron van den Oord
Alexander A. Alemi
George Tucker
SSL
114
815
0
16 May 2019
Exponential Family Estimation via Adversarial Dynamics Embedding
Exponential Family Estimation via Adversarial Dynamics Embedding
Bo Dai
Ziqiang Liu
H. Dai
Niao He
Arthur Gretton
Le Song
Dale Schuurmans
82
53
0
27 Apr 2019
Maximum Entropy Generators for Energy-Based Models
Maximum Entropy Generators for Energy-Based Models
Rithesh Kumar
Sherjil Ozair
Anirudh Goyal
Aaron Courville
Yoshua Bengio
56
113
0
24 Jan 2019
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
274
5,407
0
28 Sep 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
356
10,369
0
10 Jul 2018
The Unusual Effectiveness of Averaging in GAN Training
The Unusual Effectiveness of Averaging in GAN Training
Yasin Yazici
Chuan-Sheng Foo
Stefan Winkler
Kim-Hui Yap
Georgios Piliouras
V. Chandrasekhar
117
175
0
12 Jun 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
151
3,733
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
164
4,446
0
16 Feb 2018
cGANs with Projection Discriminator
cGANs with Projection Discriminator
Takeru Miyato
Masanori Koyama
GAN
80
772
0
15 Feb 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
86
1,468
0
13 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
181
7,380
0
27 Oct 2017
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At
  Every Step
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
W. Fedus
Mihaela Rosca
Balaji Lakshminarayanan
Andrew M. Dai
S. Mohamed
Ian Goodfellow
GAN
86
211
0
23 Oct 2017
Triangle Generative Adversarial Networks
Triangle Generative Adversarial Networks
Zhe Gan
Liqun Chen
Weiyao Wang
Yunchen Pu
Yizhe Zhang
Hao Liu
Chunyuan Li
Lawrence Carin
GANOOD
86
137
0
19 Sep 2017
Conditional Generative Adversarial Networks for Speech Enhancement and
  Noise-Robust Speaker Verification
Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification
Daniel Michelsanti
Zheng-Hua Tan
GAN
72
209
0
06 Sep 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
66
725
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
227
9,568
0
31 Mar 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial
  Networks
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taeksoo Kim
Moonsu Cha
Hyunsoo Kim
Jung Kwon Lee
Jiwon Kim
GANOOD
103
1,983
0
15 Mar 2017
Triple Generative Adversarial Nets
Triple Generative Adversarial Nets
Chongxuan Li
T. Xu
Jun Zhu
Bo Zhang
GAN
94
455
0
07 Mar 2017
McGan: Mean and Covariance Feature Matching GAN
McGan: Mean and Covariance Feature Matching GAN
Youssef Mroueh
Tom Sercu
Vaibhava Goel
GAN
89
159
0
27 Feb 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
343
4,580
0
13 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
457
3,215
0
30 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
488
9,076
0
10 Jun 2016
Generative Adversarial Text to Image Synthesis
Generative Adversarial Text to Image Synthesis
Scott E. Reed
Zeynep Akata
Xinchen Yan
Lajanugen Logeswaran
Bernt Schiele
Honglak Lee
GAN
209
3,150
0
17 May 2016
Analysis of k-Nearest Neighbor Distances with Application to Entropy
  Estimation
Analysis of k-Nearest Neighbor Distances with Application to Entropy Estimation
Shashank Singh
Barnabás Póczós
59
37
0
28 Mar 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
GANOOD
303
14,032
0
19 Nov 2015
Hierarchical Variational Models
Hierarchical Variational Models
Rajesh Ranganath
Dustin Tran
David M. Blei
DRLVLM
94
338
0
07 Nov 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial
  Networks
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L. Denton
Soumith Chintala
Arthur Szlam
Rob Fergus
GAN
114
2,245
0
18 Jun 2015
The Benefit of Multitask Representation Learning
The Benefit of Multitask Representation Learning
Andreas Maurer
Massimiliano Pontil
Bernardino Romera-Paredes
SSL
117
377
0
23 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GANSyDaAI4CE
269
10,438
0
06 Nov 2014
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