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InfoMax-GAN: Improved Adversarial Image Generation via Information
  Maximization and Contrastive Learning

InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning

9 July 2020
Kwot Sin Lee
Ngoc-Trung Tran
Ngai-Man Cheung
    GAN
ArXivPDFHTML

Papers citing "InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning"

48 / 48 papers shown
Title
MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection
MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection
Lin Yuan
Xuelong Li
Yan Zhang
Jiawei Zhang
Hongbo Li
Xinbo Gao
79
0
0
18 Apr 2025
Mimicry: Towards the Reproducibility of GAN Research
Mimicry: Towards the Reproducibility of GAN Research
Kwot Sin Lee
C. Town
OffRL
33
28
0
05 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
277
18,607
0
13 Feb 2020
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax
  Game
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Linxiao Yang
Ngai-Man Cheung
SSL
GAN
40
60
0
16 Nov 2019
A Mutual Information Maximization Perspective of Language Representation
  Learning
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong
Cyprien de Masson dÁutume
Wang Ling
Lei Yu
Zihang Dai
Dani Yogatama
SSL
248
167
0
18 Oct 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Xinyu Gong
Shiyu Chang
Yi Ding
Zhangyang Wang
GAN
62
263
0
11 Aug 2019
On Mutual Information Maximization for Representation Learning
On Mutual Information Maximization for Representation Learning
Michael Tschannen
Josip Djolonga
Paul Kishan Rubenstein
Sylvain Gelly
Mario Lucic
SSL
149
490
0
31 Jul 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
142
2,385
0
13 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
174
1,463
0
03 Jun 2019
Putting An End to End-to-End: Gradient-Isolated Learning of
  Representations
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Sindy Löwe
Peter O'Connor
Bastiaan S. Veeling
SSL
97
144
0
28 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
SSL
99
1,422
0
22 May 2019
An Improved Self-supervised GAN via Adversarial Training
An Improved Self-supervised GAN via Adversarial Training
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Ngai-Man Cheung
SSL
GAN
50
14
0
14 May 2019
Improved Precision and Recall Metric for Assessing Generative Models
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
89
844
0
15 Apr 2019
Wasserstein Dependency Measure for Representation Learning
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair
Corey Lynch
Yoshua Bengio
Aaron van den Oord
Sergey Levine
P. Sermanet
SSL
DRL
109
117
0
28 Mar 2019
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Qi Mao
Hsin-Ying Lee
Hung-Yu Tseng
Siwei Ma
Ming-Hsuan Yang
GAN
71
404
0
13 Mar 2019
Self-Supervised GANs via Auxiliary Rotation Loss
Self-Supervised GANs via Auxiliary Rotation Loss
Ting Chen
Xiaohua Zhai
Marvin Ritter
Mario Lucic
N. Houlsby
SSL
GAN
65
302
0
27 Nov 2018
Improving GAN with neighbors embedding and gradient matching
Improving GAN with neighbors embedding and gradient matching
Ngoc-Trung Tran
Tuan-Anh Bui
Ngai-Man Cheung
GAN
44
16
0
04 Nov 2018
Variational Discriminator Bottleneck: Improving Imitation Learning,
  Inverse RL, and GANs by Constraining Information Flow
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
Xue Bin Peng
Angjoo Kanazawa
Sam Toyer
Pieter Abbeel
Sergey Levine
61
214
0
01 Oct 2018
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
230
5,363
0
28 Sep 2018
Learning deep representations by mutual information estimation and
  maximization
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSL
DRL
267
2,649
0
20 Aug 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
248
10,152
0
10 Jul 2018
Assessing Generative Models via Precision and Recall
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi
Olivier Bachem
Mario Lucic
Olivier Bousquet
Sylvain Gelly
EGVM
71
571
0
31 May 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
119
3,710
0
21 May 2018
Dist-GAN: An Improved GAN using Distance Constraints
Dist-GAN: An Improved GAN using Distance Constraints
Ngoc-Trung Tran
Tuan-Anh Bui
Ngai-Man Cheung
DRL
GAN
121
91
0
23 Mar 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
210
3,272
0
21 Mar 2018
Memorization Precedes Generation: Learning Unsupervised GANs with Memory
  Networks
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks
Youngjin Kim
Minjung Kim
Gunhee Kim
GAN
82
40
0
05 Mar 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
153
4,421
0
16 Feb 2018
cGANs with Projection Discriminator
cGANs with Projection Discriminator
Takeru Miyato
Masanori Koyama
GAN
63
768
0
15 Feb 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
99
1,478
0
04 Jan 2018
Measuring Catastrophic Forgetting in Neural Networks
Measuring Catastrophic Forgetting in Neural Networks
Ronald Kemker
Marc McClure
Angelina Abitino
Tyler L. Hayes
Christopher Kanan
CLL
103
713
0
07 Aug 2017
An Online Learning Approach to Generative Adversarial Networks
An Online Learning Approach to Generative Adversarial Networks
Paulina Grnarova
Kfir Y. Levy
Aurelien Lucchi
Thomas Hofmann
Andreas Krause
GAN
43
90
0
10 Jun 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational
  Learning
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava
Lazar Valkov
Chris Russell
Michael U. Gutmann
Charles Sutton
SyDa
GAN
60
677
0
22 May 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
152
9,509
0
31 Mar 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
120
1,721
0
31 Dec 2016
Mode Regularized Generative Adversarial Networks
Mode Regularized Generative Adversarial Networks
Tong Che
Yanran Li
Athul Paul Jacob
Yoshua Bengio
Wenjie Li
GAN
101
551
0
07 Dec 2016
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
298
7,410
0
02 Dec 2016
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
278
4,554
0
13 Nov 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
93
1,002
0
07 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
391
3,204
0
30 Oct 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
148
4,224
0
12 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
429
8,999
0
10 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
104
1,648
0
02 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
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
575
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
234
13,968
0
19 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.1K
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
219
8,351
0
28 Nov 2014
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
196
12,384
0
24 Jun 2012
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