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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
Off-policy Learning for Multiple Loggers
Off-policy Learning for Multiple Loggers
Li He
Long Xia
Wei Zeng
Zhi-Ming Ma
Yue Zhao
D. Yin
OffRL
57
10
0
23 Jul 2019
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
286
3,973
0
12 Jul 2019
Entropic Regularization of Markov Decision Processes
Entropic Regularization of Markov Decision Processes
Boris Belousov
Jan Peters
73
24
0
06 Jul 2019
Twin Auxiliary Classifiers GAN
Twin Auxiliary Classifiers GAN
Biwei Huang
Yanwu Xu
Chunyuan Li
Kuncai Zhang
Kayhan Batmanghelich
125
33
0
05 Jul 2019
Capacity Bounded Differential Privacy
Capacity Bounded Differential Privacy
Kamalika Chaudhuri
Jacob Imola
Ashwin Machanavajjhala
60
39
0
03 Jul 2019
Preserving physically important variables in optimal event selections: A
  case study in Higgs physics
Preserving physically important variables in optimal event selections: A case study in Higgs physics
P. Windischhofer
M. Zgubič
D. Bortoletto
22
8
0
03 Jul 2019
Generative Models for Automatic Chemical Design
Generative Models for Automatic Chemical Design
Daniel Schwalbe-Koda
Rafael Gómez-Bombarelli
MedImAI4CE
87
81
0
02 Jul 2019
Learning to Find Correlated Features by Maximizing Information Flow in
  Convolutional Neural Networks
Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks
Wei Shen
Fei Li
Rujie Liu
41
2
0
30 Jun 2019
AGAN: Towards Automated Design of Generative Adversarial Networks
AGAN: Towards Automated Design of Generative Adversarial Networks
Hanchao Wang
Jun Huan
GANAI4CE
45
37
0
25 Jun 2019
Adversarial Computation of Optimal Transport Maps
Adversarial Computation of Optimal Transport Maps
Jacob Leygonie
Jennifer She
Amjad Almahairi
Sai Rajeswar
Aaron Courville
GANOT
75
21
0
24 Jun 2019
Bias Correction of Learned Generative Models using Likelihood-Free
  Importance Weighting
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover
Jiaming Song
Alekh Agarwal
Kenneth Tran
Ashish Kapoor
Eric Horvitz
Stefano Ermon
101
125
0
23 Jun 2019
Recent Advances of Image Steganography with Generative Adversarial
  Networks
Recent Advances of Image Steganography with Generative Adversarial Networks
Jia-Wei Liu
Yan Ke
Yu-Zhou Lei
Zhuo Zhang
Jun Li
Peng Luo
Minqing Zhang
Xiaoyuan Yang
GAN
95
70
0
18 Jun 2019
Generative Adversarial Networks are Special Cases of Artificial
  Curiosity (1990) and also Closely Related to Predictability Minimization
  (1991)
Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991)
J. Schmidhuber
GANDRL
110
57
0
11 Jun 2019
The Implicit Metropolis-Hastings Algorithm
The Implicit Metropolis-Hastings Algorithm
Kirill Neklyudov
Evgenii Egorov
Dmitry Vetrov
47
5
0
09 Jun 2019
Generative Adversarial Networks in Computer Vision: A Survey and
  Taxonomy
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Zhengwei Wang
Qi She
T. Ward
MedImEGVM
226
90
0
04 Jun 2019
Optimal Unsupervised Domain Translation
Optimal Unsupervised Domain Translation
Emmanuel de Bézenac
Ibrahim Ayed
Patrick Gallinari
OT
54
19
0
04 Jun 2019
Information Competing Process for Learning Diversified Representations
Information Competing Process for Learning Diversified Representations
Jie Hu
Rongrong Ji
Shengchuan Zhang
Xiaoshuai Sun
QiXiang Ye
Chia-Wen Lin
Q. Tian
208
14
0
04 Jun 2019
BreGMN: scaled-Bregman Generative Modeling Networks
BreGMN: scaled-Bregman Generative Modeling Networks
Akash Srivastava
Kristjan Greenewald
F. Mirzazadeh
46
6
0
01 Jun 2019
Max-MIG: an Information Theoretic Approach for Joint Learning from
  Crowds
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
Peng Cao
Yilun Xu
Yuqing Kong
Yizhou Wang
61
55
0
31 May 2019
AlignFlow: Cycle Consistent Learning from Multiple Domains via
  Normalizing Flows
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
Aditya Grover
Christopher Chute
Rui Shu
Zhangjie Cao
Stefano Ermon
OODDRL
61
67
0
30 May 2019
Imitation Learning as $f$-Divergence Minimization
Imitation Learning as fff-Divergence Minimization
Liyiming Ke
Sanjiban Choudhury
Matt Barnes
Wen Sun
Gilwoo Lee
S. Srinivasa
VLM
78
163
0
30 May 2019
Benchmarking Regression Methods: A comparison with CGAN
Benchmarking Regression Methods: A comparison with CGAN
Karan Aggarwal
Matthieu Kirchmeyer
Pranjul Yadav
S. Keerthi
Patrick Gallinari
78
13
0
30 May 2019
Semi-Implicit Generative Model
Semi-Implicit Generative Model
Mingzhang Yin
Mingyuan Zhou
VLMGAN
61
3
0
29 May 2019
Practical and Consistent Estimation of f-Divergences
Practical and Consistent Estimation of f-Divergences
Paul Kishan Rubenstein
Olivier Bousquet
Josip Djolonga
C. Riquelme
Ilya O. Tolstikhin
83
45
0
27 May 2019
Learning with Succinct Common Representation Based on Wyner's Common
  Information
Learning with Succinct Common Representation Based on Wyner's Common Information
J. Jon Ryu
Yoojin Choi
Young-Han Kim
Mostafa El-Khamy
Jungwon Lee
DRLGAN
38
2
0
27 May 2019
Non-Parametric Priors For Generative Adversarial Networks
Non-Parametric Priors For Generative Adversarial Networks
Rajhans Singh
Pavan Turaga
Suren Jayasuriya
Ravi Garg
M. Braun
GAN
69
13
0
16 May 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
140
816
0
16 May 2019
Kernel Mean Matching for Content Addressability of GANs
Kernel Mean Matching for Content Addressability of GANs
Wittawat Jitkrittum
Patsorn Sangkloy
Muhammad Waleed Gondal
Amit Raj
James Hays
Bernhard Schölkopf
GANBDL
68
9
0
14 May 2019
Importance Weighted Hierarchical Variational Inference
Importance Weighted Hierarchical Variational Inference
Artem Sobolev
Dmitry Vetrov
BDL
79
29
0
08 May 2019
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs
Sukarna Barua
S. Erfani
James Bailey
AI4CEGAN
36
27
0
07 May 2019
Adversarial Balancing-based Representation Learning for Causal Effect
  Inference with Observational Data
Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data
Xin Du
Lei Sun
W. Duivesteijn
Alexander G. Nikolaev
Mykola Pechenizkiy
OODCML
79
44
0
30 Apr 2019
Deep Spectral Clustering using Dual Autoencoder Network
Deep Spectral Clustering using Dual Autoencoder Network
Xu Yang
Cheng Deng
Feng Zheng
Junchi Yan
Wen Liu
84
252
0
30 Apr 2019
Prediction of Progression to Alzheimer's disease with Deep InfoMax
Prediction of Progression to Alzheimer's disease with Deep InfoMax
A. Fedorov
R. Devon Hjelm
A. Abrol
Z. Fu
Yuhui Du
Sergey Plis
Vince D. Calhoun
MedIm
26
23
0
24 Apr 2019
LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point
  Clouds
LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds
Chun-Liang Li
Tomas Simon
Jason M. Saragih
Barnabás Póczós
Yaser Sheikh
3DPC
74
40
0
22 Apr 2019
Training generative networks using random discriminators
Training generative networks using random discriminators
Babak Barazandeh
Meisam Razaviyayn
Maziar Sanjabi
GAN
28
4
0
22 Apr 2019
Distributed generation of privacy preserving data with user
  customization
Distributed generation of privacy preserving data with user customization
Xiao Chen
Thomas Navidi
Stefano Ermon
Ram Rajagopal
69
11
0
20 Apr 2019
Deep Comprehensive Correlation Mining for Image Clustering
Deep Comprehensive Correlation Mining for Image Clustering
Jianlong Wu
Keyu Long
Fei Wang
Chao Qian
Cheng Li
Zhouchen Lin
H. Zha
73
162
0
15 Apr 2019
Implicit Pairs for Boosting Unpaired Image-to-Image Translation
Implicit Pairs for Boosting Unpaired Image-to-Image Translation
Y. Ginger
Dov Danon
Hadar Averbuch-Elor
Daniel Cohen-Or
75
2
0
15 Apr 2019
A Selective Overview of Deep Learning
A Selective Overview of Deep Learning
Jianqing Fan
Cong Ma
Yiqiao Zhong
BDLVLM
210
135
0
10 Apr 2019
Semantics Disentangling for Text-to-Image Generation
Semantics Disentangling for Text-to-Image Generation
Guojun Yin
Bin Liu
Lu Sheng
Nenghai Yu
Xiaogang Wang
Jing Shao
74
184
0
02 Apr 2019
Optimal Obfuscation Mechanisms via Machine Learning
Optimal Obfuscation Mechanisms via Machine Learning
Marco Romanelli
K. Chatzikokolakis
C. Palamidessi
AAML
66
12
0
01 Apr 2019
General Probabilistic Surface Optimization and Log Density Estimation
General Probabilistic Surface Optimization and Log Density Estimation
Dmitry Kopitkov
Vadim Indelman
87
1
0
25 Mar 2019
On power chi expansions of $f$-divergences
On power chi expansions of fff-divergences
Frank Nielsen
Gaëtan Hadjeres
AI4CE
61
3
0
14 Mar 2019
Deep Learning for Channel Coding via Neural Mutual Information
  Estimation
Deep Learning for Channel Coding via Neural Mutual Information Estimation
Rick Fritschek
Rafael F. Schaefer
Gerhard Wunder
85
46
0
07 Mar 2019
Generative Adversarial Nets for Robust Scatter Estimation: A Proper
  Scoring Rule Perspective
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective
Chao Gao
Yuan Yao
Weizhi Zhu
86
22
0
05 Mar 2019
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Yifan Wu
Ezra Winston
Divyansh Kaushik
Zachary Chase Lipton
76
127
0
05 Mar 2019
Unpaired image denoising using a generative adversarial network in X-ray
  CT
Unpaired image denoising using a generative adversarial network in X-ray CT
Hyoung Suk Park
Jineon Baek
S. You
Jae Kyu Choi
J. Seo
MedImGAN
78
56
0
04 Mar 2019
Implicit Kernel Learning
Implicit Kernel Learning
Chun-Liang Li
Wei-Cheng Chang
Youssef Mroueh
Yiming Yang
Barnabás Póczós
VLM
82
42
0
26 Feb 2019
Wasserstein-Wasserstein Auto-Encoders
Wasserstein-Wasserstein Auto-Encoders
Shunkang Zhang
Yuan Gao
Yuling Jiao
Jin Liu
Yang Wang
Can Yang
DRLDiffM
34
13
0
25 Feb 2019
Wasserstein GAN Can Perform PCA
Wasserstein GAN Can Perform PCA
Jaewoong Cho
Changho Suh
GAN
56
5
0
25 Feb 2019
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