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Improved Techniques for Training GANs

Improved Techniques for Training GANs

10 June 2016
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
    GAN
ArXiv (abs)PDFHTML

Papers citing "Improved Techniques for Training GANs"

50 / 4,338 papers shown
Title
Deep Generative Adversarial Neural Networks for Realistic Prostate
  Lesion MRI Synthesis
Deep Generative Adversarial Neural Networks for Realistic Prostate Lesion MRI Synthesis
Andy Kitchen
J. Seah
GANMedIm
83
31
0
01 Aug 2017
Scalable and Effective Deep CCA via Soft Decorrelation
Scalable and Effective Deep CCA via Soft Decorrelation
Xiaobin Chang
Tao Xiang
Timothy M. Hospedales
126
3
0
30 Jul 2017
Photographic Image Synthesis with Cascaded Refinement Networks
Photographic Image Synthesis with Cascaded Refinement Networks
Qifeng Chen
V. Koltun
268
984
0
28 Jul 2017
Generator Reversal
Generator Reversal
Yannic Kilcher
Aurelien Lucchi
Thomas Hofmann
AI4CE
98
2
0
28 Jul 2017
Quantum machine learning: a classical perspective
Quantum machine learning: a classical perspective
C. Ciliberto
Mark Herbster
Alessandro Davide Ialongo
Massimiliano Pontil
Andrea Rocchetto
Simone Severini
Leonard Wossnig
AI4CE
281
490
0
26 Jul 2017
MMGAN: Manifold Matching Generative Adversarial Network
MMGAN: Manifold Matching Generative Adversarial Network
Noseong Park
A. Anand
Joel Ruben Antony Moniz
Kookjin Lee
Tanmoy Chakraborty
Jaegul Choo
Hongkyu Park
Youngmin Kim
GAN
241
8
0
26 Jul 2017
Linear Discriminant Generative Adversarial Networks
Linear Discriminant Generative Adversarial Networks
Zhun Sun
Mete Ozay
Takayuki Okatani
GAN
79
1
0
25 Jul 2017
Likelihood Estimation for Generative Adversarial Networks
Likelihood Estimation for Generative Adversarial Networks
Hamid Eghbalzadeh
Gerhard Widmer
GAN
78
10
0
24 Jul 2017
Generative OpenMax for Multi-Class Open Set Classification
Generative OpenMax for Multi-Class Open Set Classification
Zongyuan Ge
S. Demyanov
Zetao Chen
R. Garnavi
VLM
182
426
0
24 Jul 2017
Adversarial Variational Optimization of Non-Differentiable Simulators
Adversarial Variational Optimization of Non-Differentiable Simulators
Gilles Louppe
Joeri Hermans
Kyle Cranmer
GAN
358
69
0
22 Jul 2017
Semantic Image Synthesis via Adversarial Learning
Semantic Image Synthesis via Adversarial Learning
Hao Dong
Simiao Yu
Chao Wu
Wenhan Luo
GAN
172
275
0
21 Jul 2017
Shape Generation using Spatially Partitioned Point Clouds
Shape Generation using Spatially Partitioned Point Clouds
Matheus Gadelha
Subhransu Maji
Rui Wang
3DPC
110
12
0
19 Jul 2017
Optimizing the Latent Space of Generative Networks
Optimizing the Latent Space of Generative Networks
Piotr Bojanowski
Armand Joulin
David Lopez-Paz
Arthur Szlam
GAN
278
445
0
18 Jul 2017
Freehand Ultrasound Image Simulation with Spatially-Conditioned
  Generative Adversarial Networks
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks
Yipeng Hu
Eli Gibson
L. Lee
Weidi Xie
D. Barratt
Tom Vercauteren
J. A. Noble
GANMedIm
96
77
0
17 Jul 2017
MoCoGAN: Decomposing Motion and Content for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov
Ming-Yuan Liu
Xiaodong Yang
Jan Kautz
GAN
413
1,244
0
17 Jul 2017
Guiding InfoGAN with Semi-Supervision
Guiding InfoGAN with Semi-Supervision
Adrian Spurr
Emre Aksan
Otmar Hilliges
GAN
180
47
0
14 Jul 2017
f-GANs in an Information Geometric Nutshell
f-GANs in an Information Geometric Nutshell
Richard Nock
Zac Cranko
A. Menon
Zhuang Li
Robert C. Williamson
160
27
0
14 Jul 2017
Stable Distribution Alignment Using the Dual of the Adversarial Distance
Stable Distribution Alignment Using the Dual of the Adversarial Distance
Ben Usman
Kate Saenko
Brian Kulis
203
3
0
13 Jul 2017
Adversarial Dropout for Supervised and Semi-supervised Learning
Adversarial Dropout for Supervised and Semi-supervised Learning
Sungrae Park
Jun-Keon Park
Su-Jin Shin
Il-Chul Moon
GAN
165
181
0
12 Jul 2017
Adversarial Generation of Training Examples: Applications to Moving
  Vehicle License Plate Recognition
Adversarial Generation of Training Examples: Applications to Moving Vehicle License Plate Recognition
Xinlong Wang
Zhipeng Man
Mingyu You
Chunhua Shen
GAN
124
8
0
11 Jul 2017
Semi-Supervised Haptic Material Recognition for Robots using Generative
  Adversarial Networks
Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks
Zackory M. Erickson
Sonia Chernova
Charles C. Kemp
GAN
119
44
0
10 Jul 2017
Learning Representations and Generative Models for 3D Point Clouds
Learning Representations and Generative Models for 3D Point Clouds
Panos Achlioptas
Olga Diamanti
Alexia Jolicoeur-Martineau
Leonidas Guibas
3DV3DPC
200
91
0
08 Jul 2017
Learning Loss Functions for Semi-supervised Learning via Discriminative
  Adversarial Networks
Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks
Cicero Nogueira dos Santos
Kahini Wadhawan
Bowen Zhou
GAN
164
30
0
07 Jul 2017
AlignGAN: Learning to Align Cross-Domain Images with Conditional
  Generative Adversarial Networks
AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
GAN
193
23
0
05 Jul 2017
Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE
Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE
Qiang Liu
Dilin Wang
137
23
0
04 Jul 2017
Learning to Avoid Errors in GANs by Manipulating Input Spaces
Learning to Avoid Errors in GANs by Manipulating Input Spaces
A. Jung
GAN
124
1
0
03 Jul 2017
Variance Regularizing Adversarial Learning
Karan Grewal
R. Devon Hjelm
Yoshua Bengio
GANAAML
135
7
0
02 Jul 2017
Distributional Adversarial Networks
Distributional Adversarial Networks
Chengtao Li
David Alvarez-Melis
Keyulu Xu
Stefanie Jegelka
S. Sra
GAN
201
24
0
29 Jun 2017
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash
  Equilibrium
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
327
484
0
26 Jun 2017
Training Adversarial Discriminators for Cross-channel Abnormal Event
  Detection in Crowds
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds
Mahdyar Ravanbakhsh
E. Sangineto
Moin Nabi
Andrii Zadaianchuk
GAN
264
200
0
23 Jun 2017
A-NICE-MC: Adversarial Training for MCMC
A-NICE-MC: Adversarial Training for MCMC
Jiaming Song
Shengjia Zhao
Stefano Ermon
BDLOOD
307
111
0
23 Jun 2017
Dualing GANs
Dualing GANs
Yujia Li
Alex Schwing
Kuan-Chieh Wang
R. Zemel
GAN
107
21
0
19 Jun 2017
Bayesian Conditional Generative Adverserial Networks
Bayesian Conditional Generative Adverserial Networks
Ehsan Abbasnejad
Javen Qinfeng Shi
Iman Abbasnejad
Anton Van Den Hengel
A. Dick
GAN
136
13
0
17 Jun 2017
Self-ensembling for visual domain adaptation
Self-ensembling for visual domain adaptation
Geoffrey French
Michal Mackiewicz
M. Fisher
245
45
0
16 Jun 2017
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
295
278
0
15 Jun 2017
Recent Progress of Face Image Synthesis
Recent Progress of Face Image SynthesisAsian Conference on Pattern Recognition (ACPR), 2017
Zhihe Lu
Zhihang Li
Jie Cao
Ran He
Zhenan Sun
CVBM
155
35
0
15 Jun 2017
Gradient descent GAN optimization is locally stable
Gradient descent GAN optimization is locally stableNeural Information Processing Systems (NeurIPS), 2017
Vaishnavh Nagarajan
J. Zico Kolter
GAN
279
362
0
13 Jun 2017
Adversarial Feature Matching for Text Generation
Adversarial Feature Matching for Text GenerationInternational Conference on Machine Learning (ICML), 2017
Yizhe Zhang
Zhe Gan
Kai Fan
Zhi Chen
Ricardo Henao
Dinghan Shen
Lawrence Carin
GAN
192
348
0
12 Jun 2017
Channel-Recurrent Autoencoding for Image Modeling
Channel-Recurrent Autoencoding for Image Modeling
Wenling Shang
Kihyuk Sohn
Yuandong Tian
DRLGAN
124
3
0
12 Jun 2017
An Online Learning Approach to Generative Adversarial Networks
An Online Learning Approach to Generative Adversarial NetworksInternational Conference on Learning Representations (ICLR), 2017
Paulina Grnarova
Kfir Y. Levy
Aurelien Lucchi
Thomas Hofmann
Andreas Krause
GAN
176
92
0
10 Jun 2017
Real-valued (Medical) Time Series Generation with Recurrent Conditional
  GANs
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
Cristóbal Esteban
Stephanie L. Hyland
Gunnar Rätsch
GANSyDaMedIm
289
885
0
08 Jun 2017
CosmoGAN: creating high-fidelity weak lensing convergence maps using
  Generative Adversarial Networks
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial NetworksComputational Astrophysics and Cosmology (CAC), 2017
M. Mustafa
Deborah Bard
W. Bhimji
Z. Lukić
Rami Al-Rfou
J. Kratochvil
GAN
437
125
0
07 Jun 2017
InfoVAE: Information Maximizing Variational Autoencoders
InfoVAE: Information Maximizing Variational Autoencoders
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRL
405
472
0
07 Jun 2017
Synthesizing Filamentary Structured Images with GANs
Synthesizing Filamentary Structured Images with GANs
He Zhao
Huiqi Li
Li Cheng
GANMedIm
109
28
0
07 Jun 2017
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data
DeLiGAN : Generative Adversarial Networks for Diverse and Limited DataComputer Vision and Pattern Recognition (CVPR), 2017
Swaminathan Gurumurthy
Ravi Kiran Sarvadevabhatla
R. Venkatesh Babu
GAN
202
292
0
07 Jun 2017
SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image
  Segmentation
SegAN: Adversarial Network with Multi-scale L1L_1L1​ Loss for Medical Image Segmentation
Yuan Xue
Tao Xu
Han Zhang
L. R. Long
Xiaolei Huang
MedImGAN
149
580
0
06 Jun 2017
Learning by Association - A versatile semi-supervised training method
  for neural networks
Learning by Association - A versatile semi-supervised training method for neural networksComputer Vision and Pattern Recognition (CVPR), 2017
Philip Häusser
A. Mordvintsev
Zorah Lähner
BDL
120
122
0
03 Jun 2017
On Unifying Deep Generative Models
On Unifying Deep Generative ModelsInternational Conference on Learning Representations (ICLR), 2017
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric Xing
DRLGAN
357
128
0
02 Jun 2017
PixelGAN Autoencoders
PixelGAN AutoencodersNeural Information Processing Systems (NeurIPS), 2017
Alireza Makhzani
Brendan J. Frey
GAN
153
102
0
02 Jun 2017
Learning Generative Models with Sinkhorn Divergences
Learning Generative Models with Sinkhorn DivergencesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2017
Aude Genevay
Gabriel Peyré
Marco Cuturi
OT
414
669
0
01 Jun 2017
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