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f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization

2 June 2016
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
    GAN
ArXiv (abs)PDFHTML

Papers citing "f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization"

50 / 904 papers shown
Title
Discovering Fair Representations in the Data Domain
Discovering Fair Representations in the Data Domain
Novi Quadrianto
V. Sharmanska
Oliver Thomas
82
3
0
15 Oct 2018
Point Cloud GAN
Point Cloud GAN
Chun-Liang Li
Manzil Zaheer
Yang Zhang
Barnabás Póczós
Ruslan Salakhutdinov
3DPC
99
212
0
13 Oct 2018
Pairwise Augmented GANs with Adversarial Reconstruction Loss
Pairwise Augmented GANs with Adversarial Reconstruction Loss
Aibek Alanov
Max Kochurov
D. Yashkov
Dmitry Vetrov
GAN
28
3
0
11 Oct 2018
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample
  Likelihoods in GANs
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
Yogesh Balaji
Hamed Hassani
Rama Chellappa
Soheil Feizi
GANDRL
88
21
0
09 Oct 2018
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person
  Re-identification
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
Yixiao Ge
Zhuowan Li
Haiyu Zhao
Guojun Yin
Shuai Yi
Xiaogang Wang
Hongsheng Li
95
333
0
06 Oct 2018
Local Stability and Performance of Simple Gradient Penalty
  mu-Wasserstein GAN
Local Stability and Performance of Simple Gradient Penalty mu-Wasserstein GAN
Cheolhyeong Kim
Seungtae Park
H. Hwang
16
1
0
05 Oct 2018
Robust Estimation and Generative Adversarial Nets
Robust Estimation and Generative Adversarial Nets
Chao Gao
Jiyi Liu
Yuan Yao
Weizhi Zhu
153
28
0
04 Oct 2018
EMI: Exploration with Mutual Information
EMI: Exploration with Mutual Information
Hyoungseok Kim
Jaekyeom Kim
Yeonwoo Jeong
Sergey Levine
Hyun Oh Song
46
5
0
02 Oct 2018
Taming VAEs
Taming VAEs
Danilo Jimenez Rezende
Fabio Viola
DRLCML
75
186
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
302
5,417
0
28 Sep 2018
NEXUS Network: Connecting the Preceding and the Following in Dialogue
  Generation
NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation
Hui Su
Xiaoyu Shen
Wenjie Li
Dietrich Klakow
106
30
0
27 Sep 2018
Deep Graph Infomax
Deep Graph Infomax
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
134
2,413
0
27 Sep 2018
Implicit Maximum Likelihood Estimation
Implicit Maximum Likelihood Estimation
Ke Li
Jitendra Malik
58
97
0
24 Sep 2018
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GANMedIm
137
1,405
0
19 Sep 2018
The Inductive Bias of Restricted f-GANs
The Inductive Bias of Restricted f-GANs
Shuang Liu
Kamalika Chaudhuri
GAN
49
18
0
12 Sep 2018
Constrained Generation of Semantically Valid Graphs via Regularizing
  Variational Autoencoders
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Tengfei Ma
Jie Chen
Cao Xiao
151
210
0
07 Sep 2018
GANs beyond divergence minimization
GANs beyond divergence minimization
Alexia Jolicoeur-Martineau
GAN
73
11
0
06 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
SSLDRL
444
2,677
0
20 Aug 2018
Deep Learning for Single Image Super-Resolution: A Brief Review
Deep Learning for Single Image Super-Resolution: A Brief Review
Wenming Yang
Xuechen Zhang
Yapeng Tian
Wei Wang
Jing-Hao Xue
69
909
0
09 Aug 2018
Unbiased Implicit Variational Inference
Unbiased Implicit Variational Inference
Michalis K. Titsias
Francisco J. R. Ruiz
BDL
142
57
0
06 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
112
16
0
05 Aug 2018
Global Convergence to the Equilibrium of GANs using Variational
  Inequalities
Global Convergence to the Equilibrium of GANs using Variational Inequalities
I. Gemp
Sridhar Mahadevan
101
50
0
04 Aug 2018
How good is my GAN?
How good is my GAN?
K. Shmelkov
Cordelia Schmid
Alahari Karteek
GANEGVM
62
350
0
25 Jul 2018
Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-X
Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-X
Dongyang Ao
C. Dumitru
G. Schwarz
Mihai Datcu
GAN
51
42
0
20 Jul 2018
A Large-Scale Study on Regularization and Normalization in GANs
A Large-Scale Study on Regularization and Normalization in GANs
Karol Kurach
Mario Lucic
Xiaohua Zhai
Marcin Michalski
Sylvain Gelly
AI4CE
97
156
0
12 Jul 2018
Learning Implicit Generative Models by Teaching Explicit Ones
Learning Implicit Generative Models by Teaching Explicit Ones
Chao Du
Kun Xu
Chongxuan Li
Jun Zhu
Bo Zhang
DRLGAN
50
9
0
10 Jul 2018
Handling Incomplete Heterogeneous Data using VAEs
Handling Incomplete Heterogeneous Data using VAEs
A. Nazábal
Pablo Martínez Olmos
Zoubin Ghahramani
Isabel Valera
67
353
0
10 Jul 2018
New Losses for Generative Adversarial Learning
Victor Berger
Michèle Sebag
GAN
47
0
0
03 Jul 2018
The relativistic discriminator: a key element missing from standard GAN
The relativistic discriminator: a key element missing from standard GAN
Alexia Jolicoeur-Martineau
GAN
89
978
0
02 Jul 2018
Learning Implicit Generative Models with the Method of Learned Moments
Learning Implicit Generative Models with the Method of Learned Moments
Suman V. Ravuri
S. Mohamed
Mihaela Rosca
Oriol Vinyals
GAN
99
28
0
28 Jun 2018
High Diversity Attribute Guided Face Generation with GANs
High Diversity Attribute Guided Face Generation with GANs
Evgeny Izutov
CVBMGAN
66
0
0
28 Jun 2018
Towards a Better Understanding and Regularization of GAN Training
  Dynamics
Towards a Better Understanding and Regularization of GAN Training Dynamics
Weili Nie
Ankit B. Patel
GANAI4CE
29
4
0
24 Jun 2018
Mixed batches and symmetric discriminators for GAN training
Mixed batches and symmetric discriminators for GAN training
Thomas Lucas
Corentin Tallec
Jakob Verbeek
Yann Ollivier
58
37
0
19 Jun 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
83
43
0
18 Jun 2018
The Information Autoencoding Family: A Lagrangian Perspective on Latent
  Variable Generative Models
The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRLGAN
78
20
0
18 Jun 2018
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference
Louis C. Tiao
Edwin V. Bonilla
F. Ramos
BDLOOD
63
7
0
05 Jun 2018
Generative Ratio Matching Networks
Generative Ratio Matching Networks
Akash Srivastava
Kai Xu
Michael U. Gutmann
Charles Sutton
GAN
67
12
0
31 May 2018
K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning
K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning
Jihun Hamm
Yung-Kyun Noh
79
9
0
29 May 2018
On gradient regularizers for MMD GANs
On gradient regularizers for MMD GANs
Michael Arbel
Danica J. Sutherland
Mikolaj Binkowski
Arthur Gretton
97
95
0
29 May 2018
Capturing Variabilities from Computed Tomography Images with Generative
  Adversarial Networks
Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks
U. Javaid
J. Lee
GANMedIm
78
5
0
29 May 2018
Implicit Autoencoders
Implicit Autoencoders
Alireza Makhzani
GANDRL
58
19
0
24 May 2018
Primal-Dual Wasserstein GAN
Primal-Dual Wasserstein GAN
Mevlana Gemici
Zeynep Akata
Max Welling
82
13
0
24 May 2018
Nonparametric Density Estimation under Adversarial Losses
Nonparametric Density Estimation under Adversarial Losses
Shashank Singh
Ananya Uppal
Boyue Li
Chun-Liang Li
Manzil Zaheer
Barnabás Póczós
GAN
93
57
0
22 May 2018
Adversarial Training of Word2Vec for Basket Completion
Adversarial Training of Word2Vec for Basket Completion
Ugo Tanielian
Mike Gartrell
Flavian Vasile
GAN
32
1
0
22 May 2018
BourGAN: Generative Networks with Metric Embeddings
BourGAN: Generative Networks with Metric Embeddings
Chang Xiao
Peilin Zhong
Changxi Zheng
GAN
101
69
0
19 May 2018
Local Saddle Point Optimization: A Curvature Exploitation Approach
Local Saddle Point Optimization: A Curvature Exploitation Approach
Leonard Adolphs
Hadi Daneshmand
Aurelien Lucchi
Thomas Hofmann
141
107
0
15 May 2018
Normal Similarity Network for Generative Modelling
Normal Similarity Network for Generative Modelling
Jay Nandy
Wynne Hsu
Mong Li Lee
GAN
32
3
0
14 May 2018
Unpaired Multi-Domain Image Generation via Regularized Conditional GANs
Unpaired Multi-Domain Image Generation via Regularized Conditional GANs
Xudong Mao
Qing Li
OODGAN
46
15
0
07 May 2018
Competitive Training of Mixtures of Independent Deep Generative Models
Competitive Training of Mixtures of Independent Deep Generative Models
Francesco Locatello
Damien Vincent
Ilya O. Tolstikhin
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
OOD
75
3
0
30 Apr 2018
VITAL: VIsual Tracking via Adversarial Learning
VITAL: VIsual Tracking via Adversarial Learning
Yibing Song
Chao Ma
Xiaohe Wu
Lijun Gong
Linchao Bao
W. Zuo
Chunhua Shen
Rynson W. H. Lau
Ming-Hsuan Yang
GANAAML
110
506
0
12 Apr 2018
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