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Towards Principled Methods for Training Generative Adversarial Networks

Towards Principled Methods for Training Generative Adversarial Networks

17 January 2017
Martín Arjovsky
M. Nault
    GAN
ArXivPDFHTML

Papers citing "Towards Principled Methods for Training Generative Adversarial Networks"

50 / 295 papers shown
Title
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder
  Anomaly Detection
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
UQCV
44
373
0
25 Jan 2019
Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary
  Distance Maximization
Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization
Zhiwei Wang
Yi Lin
K. Cheng
Xin Yang
MedIm
27
29
0
17 Dec 2018
Learning Implicit Fields for Generative Shape Modeling
Learning Implicit Fields for Generative Shape Modeling
Zhiqin Chen
Hao Zhang
AI4CE
3DV
38
1,608
0
06 Dec 2018
A Wasserstein GAN model with the total variational regularization
A Wasserstein GAN model with the total variational regularization
Lijun Zhang
Yujin Zhang
Yongbin Gao
GAN
8
3
0
03 Dec 2018
GDPP: Learning Diverse Generations Using Determinantal Point Process
GDPP: Learning Diverse Generations Using Determinantal Point Process
Mohamed Elfeki
Camille Couprie
M. Rivière
Mohamed Elhoseiny
26
64
0
30 Nov 2018
On the Implicit Assumptions of GANs
On the Implicit Assumptions of GANs
Ke Li
Jitendra Malik
GAN
11
17
0
29 Nov 2018
Deep Knockoffs
Deep Knockoffs
Yaniv Romano
Matteo Sesia
Emmanuel J. Candès
BDL
18
139
0
16 Nov 2018
MD-GAN: Multi-Discriminator Generative Adversarial Networks for
  Distributed Datasets
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets
Corentin Hardy
Erwan Le Merrer
B. Sericola
GAN
27
181
0
09 Nov 2018
Sparsemax and Relaxed Wasserstein for Topic Sparsity
Sparsemax and Relaxed Wasserstein for Topic Sparsity
Tianyi Lin
Zhibo Hu
Xin Guo
14
37
0
22 Oct 2018
A Domain Agnostic Normalization Layer for Unsupervised Adversarial
  Domain Adaptation
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation
Rob Romijnders
Panagiotis Meletis
Gijs Dubbelman
AI4CE
21
27
0
14 Sep 2018
Adversarial Domain Adaptation for Duplicate Question Detection
Adversarial Domain Adaptation for Duplicate Question Detection
Darsh J. Shah
Tao Lei
Alessandro Moschitti
Salvatore Romeo
Preslav Nakov
38
74
0
07 Sep 2018
Multi-Adversarial Domain Adaptation
Multi-Adversarial Domain Adaptation
Zhongyi Pei
Zhangjie Cao
Mingsheng Long
Jianmin Wang
OOD
TTA
30
853
0
04 Sep 2018
Text-to-image Synthesis via Symmetrical Distillation Networks
Text-to-image Synthesis via Symmetrical Distillation Networks
Mingkuan Yuan
Yuxin Peng
DiffM
33
37
0
21 Aug 2018
Denoising of 3-D Magnetic Resonance Images Using a Residual
  Encoder-Decoder Wasserstein Generative Adversarial Network
Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network
Maosong Ran
Jinrong Hu
Yang Chen
Hu Chen
Huaiqiang Sun
Jiliu Zhou
Yi Zhang
MedIm
30
92
0
12 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of
  Graphical Modeling
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
Zhijian Ou
31
16
0
05 Aug 2018
Towards Distributed Coevolutionary GANs
Towards Distributed Coevolutionary GANs
Abdullah Al-Dujaili
Tom Schmiedlechner
Erik Hemberg
Una-May O’Reilly
GAN
36
41
0
21 Jul 2018
Optimistic mirror descent in saddle-point problems: Going the extra
  (gradient) mile
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
P. Mertikopoulos
Bruno Lecouat
Houssam Zenati
Chuan-Sheng Foo
V. Chandrasekhar
Georgios Piliouras
34
291
0
07 Jul 2018
New Losses for Generative Adversarial Learning
Victor Berger
Michèle Sebag
GAN
22
0
0
03 Jul 2018
Beyond Local Nash Equilibria for Adversarial Networks
Beyond Local Nash Equilibria for Adversarial Networks
F. Oliehoek
Rahul Savani
Jose Gallego-Posada
Elise van der Pol
R. Groß
GAN
26
43
0
18 Jun 2018
MedGAN: Medical Image Translation using GANs
MedGAN: Medical Image Translation using GANs
Karim Armanious
Chenming Yang
Marc Fischer
Thomas Kustner
K. Nikolaou
S. Gatidis
Bin Yang
GAN
MedIm
14
537
0
17 Jun 2018
Laplacian Smoothing Gradient Descent
Laplacian Smoothing Gradient Descent
Stanley Osher
Bao Wang
Penghang Yin
Xiyang Luo
Farzin Barekat
Minh Pham
A. Lin
ODL
22
43
0
17 Jun 2018
Data Synthesis based on Generative Adversarial Networks
Data Synthesis based on Generative Adversarial Networks
Noseong Park
Mahmoud Mohammadi
Kshitij Gorde
S. Jajodia
Hongkyu Park
Youngmin Kim
119
469
0
09 Jun 2018
Training Faster by Separating Modes of Variation in Batch-normalized
  Models
Training Faster by Separating Modes of Variation in Batch-normalized Models
Mahdi M. Kalayeh
M. Shah
27
42
0
07 Jun 2018
Sobolev Descent
Sobolev Descent
Youssef Mroueh
Tom Sercu
Anant Raj
OT
21
1
0
30 May 2018
Wasserstein Variational Inference
Wasserstein Variational Inference
L. Ambrogioni
Umut Güçlü
Yağmur Güçlütürk
Max Hinne
E. Maris
Marcel van Gerven
BDL
DRL
19
42
0
29 May 2018
GANE: A Generative Adversarial Network Embedding
GANE: A Generative Adversarial Network Embedding
Huiting Hong
Xin Li
Mingzhong Wang
GAN
21
30
0
18 May 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
GAN
37
1,368
0
17 May 2018
Normal Similarity Network for Generative Modelling
Normal Similarity Network for Generative Modelling
Jay Nandy
W. Hsu
M. Lee
GAN
18
3
0
14 May 2018
Stingray Detection of Aerial Images Using Augmented Training Images
  Generated by A Conditional Generative Model
Stingray Detection of Aerial Images Using Augmented Training Images Generated by A Conditional Generative Model
Yi-Min Chou
Chien-Hung Chen
Keng-Hao Liu
Chu-Song Chen
32
3
0
11 May 2018
Transferring GANs: generating images from limited data
Transferring GANs: generating images from limited data
Yaxing Wang
Chenshen Wu
Luis Herranz
Joost van de Weijer
Abel Gonzalez-Garcia
Bogdan Raducanu
33
283
0
04 May 2018
Adversarial Training of Variational Auto-encoders for High Fidelity
  Image Generation
Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation
Salman H. Khan
Munawar Hayat
Nick Barnes
GAN
DRL
19
20
0
27 Apr 2018
Unsupervised Domain Adaptation with Adversarial Residual Transform
  Networks
Unsupervised Domain Adaptation with Adversarial Residual Transform Networks
Guanyu Cai
Yuqin Wang
Mengchu Zhou
Lianghua He
GAN
19
88
0
25 Apr 2018
Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style
  Transfer
Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer
Juncen Li
Robin Jia
He He
Percy Liang
39
548
0
17 Apr 2018
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene
  Adaptation
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation
Zuxuan Wu
Xintong Han
Yen-Liang Lin
M. Uzunbas
Tom Goldstein
Ser Nam Lim
L. Davis
24
263
0
16 Apr 2018
MGGAN: Solving Mode Collapse using Manifold Guided Training
MGGAN: Solving Mode Collapse using Manifold Guided Training
Duhyeon Bang
Hyunjung Shim
GAN
30
77
0
12 Apr 2018
CoT: Cooperative Training for Generative Modeling of Discrete Data
CoT: Cooperative Training for Generative Modeling of Discrete Data
Sidi Lu
Lantao Yu
Siyuan Feng
Yaoming Zhu
Weinan Zhang
Yong Yu
GAN
33
19
0
11 Apr 2018
Generative Adversarial Networks for Extreme Learned Image Compression
Generative Adversarial Networks for Extreme Learned Image Compression
E. Agustsson
Michael Tschannen
Fabian Mentzer
Radu Timofte
Luc Van Gool
GAN
35
551
0
09 Apr 2018
Generative Adversarial Learning for Spectrum Sensing
Generative Adversarial Learning for Spectrum Sensing
Kemal Davaslioglu
Y. Sagduyu
GAN
21
89
0
02 Apr 2018
Generative Modeling using the Sliced Wasserstein Distance
Generative Modeling using the Sliced Wasserstein Distance
Ishani Deshpande
Ziyu Zhang
A. Schwing
GAN
20
221
0
29 Mar 2018
Adversarial Binary Coding for Efficient Person Re-identification
Adversarial Binary Coding for Efficient Person Re-identification
Zheng Liu
Jie Qin
Annan Li
Yunhong Wang
Luc Van Gool
13
31
0
29 Mar 2018
Enforcing constraints for interpolation and extrapolation in Generative
  Adversarial Networks
Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks
P. Stinis
Tobias J. Hagge
A. Tartakovsky
Enoch Yeung
GAN
AI4CE
56
33
0
22 Mar 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training
Quantitatively Evaluating GANs With Divergences Proposed for Training
Daniel Jiwoong Im
He Ma
Graham W. Taylor
K. Branson
EGVM
19
69
0
02 Mar 2018
Robust GANs against Dishonest Adversaries
Robust GANs against Dishonest Adversaries
Zhi Xu
Chengtao Li
Stefanie Jegelka
AAML
34
3
0
27 Feb 2018
Is Generator Conditioning Causally Related to GAN Performance?
Is Generator Conditioning Causally Related to GAN Performance?
Augustus Odena
Jacob Buckman
Catherine Olsson
Tom B. Brown
C. Olah
Colin Raffel
Ian Goodfellow
AI4CE
35
112
0
23 Feb 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
38
4,399
0
16 Feb 2018
The Role of Information Complexity and Randomization in Representation
  Learning
The Role of Information Complexity and Randomization in Representation Learning
Matías Vera
Pablo Piantanida
L. Rey Vega
45
14
0
14 Feb 2018
First Order Generative Adversarial Networks
First Order Generative Adversarial Networks
Calvin Seward
Thomas Unterthiner
Urs M. Bergmann
Nikolay Jetchev
Sepp Hochreiter
GAN
40
8
0
13 Feb 2018
Dense 3D Object Reconstruction from a Single Depth View
Dense 3D Object Reconstruction from a Single Depth View
Bo Yang
Stefano Rosa
Andrew Markham
Niki Trigoni
Hongkai Wen
GAN
3DV
19
115
0
01 Feb 2018
Improved Training of Generative Adversarial Networks Using
  Representative Features
Improved Training of Generative Adversarial Networks Using Representative Features
Duhyeon Bang
Hyunjung Shim
GAN
38
33
0
28 Jan 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
30
1,452
0
13 Jan 2018
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