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A note on the evaluation of generative models

A note on the evaluation of generative models

5 November 2015
Lucas Theis
Aaron van den Oord
Matthias Bethge
    EGVM
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Papers citing "A note on the evaluation of generative models"

50 / 265 papers shown
Title
Variational Walkback: Learning a Transition Operator as a Stochastic
  Recurrent Net
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
Anirudh Goyal
Nan Rosemary Ke
Surya Ganguli
Yoshua Bengio
DiffM
35
55
0
07 Nov 2017
KGAN: How to Break The Minimax Game in GAN
KGAN: How to Break The Minimax Game in GAN
Trung Le
T. Nguyen
Dinh Q. Phung
GAN
41
1
0
06 Nov 2017
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
57
2,975
0
19 Oct 2017
Differentially Private Mixture of Generative Neural Networks
Differentially Private Mixture of Generative Neural Networks
G. Ács
Luca Melis
C. Castelluccia
Emiliano De Cristofaro
SyDa
27
120
0
13 Sep 2017
Deep Learning Techniques for Music Generation -- A Survey
Deep Learning Techniques for Music Generation -- A Survey
Jean-Pierre Briot
Gaëtan Hadjeres
F. Pachet
MGen
37
298
0
05 Sep 2017
Adversarial Networks for Spatial Context-Aware Spectral Image
  Reconstruction from RGB
Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB
Aitor Alvarez-Gila
Joost van de Weijer
Estíbaliz Garrote
GAN
33
90
0
01 Sep 2017
Statistics of Deep Generated Images
Statistics of Deep Generated Images
Yu Zeng
Huchuan Lu
Ali Borji
GAN
29
14
0
09 Aug 2017
Multi-Generator Generative Adversarial Nets
Multi-Generator Generative Adversarial Nets
Q. Hoang
T. Nguyen
Trung Le
Dinh Q. Phung
GAN
25
65
0
08 Aug 2017
Inception Score, Label Smoothing, Gradient Vanishing and -log(D(x)) Alternative
Zhiming Zhou
Weinan Zhang
Jun Wang
32
19
0
05 Aug 2017
MoCoGAN: Decomposing Motion and Content for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov
Ming Liu
Xiaodong Yang
Jan Kautz
GAN
93
1,131
0
17 Jul 2017
Robust Imitation of Diverse Behaviors
Robust Imitation of Diverse Behaviors
Ziyun Wang
J. Merel
Scott E. Reed
Greg Wayne
Nando de Freitas
N. Heess
31
195
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
Ioannis Mitliagkas
Leonidas J. Guibas
3DV
3DPC
36
88
0
08 Jul 2017
Dual Supervised Learning
Dual Supervised Learning
Yingce Xia
Tao Qin
Wei-neng Chen
Jiang Bian
Nenghai Yu
Tie-Yan Liu
SSL
32
143
0
03 Jul 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
DRL
GAN
25
264
0
15 Jun 2017
Video Imagination from a Single Image with Transformation Generation
Video Imagination from a Single Image with Transformation Generation
Baoyang Chen
Wenmin Wang
Jinzhuo Wang
Xiongtao Chen
EGVM
VGen
33
50
0
13 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
GAN
SyDa
MedIm
63
772
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 Networks
M. Mustafa
Deborah Bard
W. Bhimji
Z. Lukić
Rami Al-Rfou
J. Kratochvil
GAN
21
123
0
07 Jun 2017
PixelGAN Autoencoders
PixelGAN Autoencoders
Alireza Makhzani
Brendan J. Frey
GAN
32
100
0
02 Jun 2017
Generative Models of Visually Grounded Imagination
Generative Models of Visually Grounded Imagination
Ramakrishna Vedantam
Ian S. Fischer
Jonathan Huang
Kevin Patrick Murphy
25
138
0
30 May 2017
Fisher GAN
Fisher GAN
Youssef Mroueh
Tom Sercu
GAN
AI4CE
22
132
0
26 May 2017
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in
  Generative Models
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models
Aditya Grover
Manik Dhar
Stefano Ermon
GAN
39
24
0
24 May 2017
Semantically Decomposing the Latent Spaces of Generative Adversarial
  Networks
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
Chris Donahue
Zachary Chase Lipton
Akshay Balsubramani
Julian McAuley
GAN
41
120
0
22 May 2017
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
Ivo Danihelka
Balaji Lakshminarayanan
Benigno Uria
Daan Wierstra
Peter Dayan
GAN
24
53
0
15 May 2017
On human motion prediction using recurrent neural networks
On human motion prediction using recurrent neural networks
Julieta Martinez
Michael J. Black
Javier Romero
3DH
22
926
0
06 May 2017
Motion Prediction Under Multimodality with Conditional Stochastic
  Networks
Motion Prediction Under Multimodality with Conditional Stochastic Networks
Katerina Fragkiadaki
Jonathan Huang
Alexander A. Alemi
Sudheendra Vijayanarasimhan
Susanna Ricco
Rahul Sukthankar
3DH
25
25
0
05 May 2017
On the Effects of Batch and Weight Normalization in Generative
  Adversarial Networks
On the Effects of Batch and Weight Normalization in Generative Adversarial Networks
Sitao Xiang
Hao Li
GAN
35
83
0
13 Apr 2017
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Jesse Engel
Cinjon Resnick
Adam Roberts
Sander Dieleman
Douglas Eck
Karen Simonyan
Mohammad Norouzi
35
614
0
05 Apr 2017
Tacotron: Towards End-to-End Speech Synthesis
Tacotron: Towards End-to-End Speech Synthesis
Yuxuan Wang
RJ Skerry-Ryan
Daisy Stanton
Yonghui Wu
Ron J. Weiss
...
Samy Bengio
Quoc V. Le
Yannis Agiomyrgiannakis
R. Clark
Rif A. Saurous
80
1,804
0
29 Mar 2017
Sharp Minima Can Generalize For Deep Nets
Sharp Minima Can Generalize For Deep Nets
Laurent Dinh
Razvan Pascanu
Samy Bengio
Yoshua Bengio
ODL
46
758
0
15 Mar 2017
Triple Generative Adversarial Nets
Triple Generative Adversarial Nets
Chongxuan Li
T. Xu
Jun Zhu
Bo Zhang
GAN
42
449
0
07 Mar 2017
Count-Based Exploration with Neural Density Models
Count-Based Exploration with Neural Density Models
Georg Ostrovski
Marc G. Bellemare
Aaron van den Oord
Rémi Munos
50
614
0
03 Mar 2017
Deep Voice: Real-time Neural Text-to-Speech
Deep Voice: Real-time Neural Text-to-Speech
Sercan Ö. Arik
Mike Chrzanowski
Adam Coates
G. Diamos
Andrew Gibiansky
...
John Miller
Andrew Ng
Jonathan Raiman
Shubho Sengupta
M. Shoeybi
30
612
0
25 Feb 2017
ArtGAN: Artwork Synthesis with Conditional Categorical GANs
ArtGAN: Artwork Synthesis with Conditional Categorical GANs
W. Tan
Chee Seng Chan
H. Aguirre
Kiyoshi Tanaka
GAN
26
110
0
11 Feb 2017
Towards Adversarial Retinal Image Synthesis
Towards Adversarial Retinal Image Synthesis
P. Costa
Adrian Galdran
Maria Inês Meyer
M. Abràmoff
M. Niemeijer
A. Mendonça
A. Campilho
GAN
MedIm
30
124
0
31 Jan 2017
Online Structure Learning for Sum-Product Networks with Gaussian Leaves
Online Structure Learning for Sum-Product Networks with Gaussian Leaves
W. Hsu
Agastya Kalra
Pascal Poupart
TPM
8
28
0
19 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
48
2,097
0
17 Jan 2017
Learning Residual Images for Face Attribute Manipulation
Learning Residual Images for Face Attribute Manipulation
Wei Shen
Rujie Liu
CVBM
GAN
23
252
0
16 Dec 2016
Generative Adversarial Parallelization
Generative Adversarial Parallelization
Daniel Jiwoong Im
He Ma
C. Kim
Graham W. Taylor
GAN
30
38
0
13 Dec 2016
Improved generator objectives for GANs
Improved generator objectives for GANs
Ben Poole
Alexander A. Alemi
Jascha Narain Sohl-Dickstein
A. Angelova
25
70
0
08 Dec 2016
Ensembles of Generative Adversarial Networks
Ensembles of Generative Adversarial Networks
Yaxing Wang
Lichao Zhang
Joost van de Weijer
GAN
27
52
0
03 Dec 2016
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive
  Architectures
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures
Gaurav Mittal
Tanya Marwah
V. Balasubramanian
VGen
DiffM
38
67
0
30 Nov 2016
Generative Models and Model Criticism via Optimized Maximum Mean
  Discrepancy
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
Danica J. Sutherland
H. Tung
Heiko Strathmann
Soumyajit De
Aaditya Ramdas
Alex Smola
Arthur Gretton
32
255
0
14 Nov 2016
On the Quantitative Analysis of Decoder-Based Generative Models
On the Quantitative Analysis of Decoder-Based Generative Models
Yuhuai Wu
Yuri Burda
Ruslan Salakhutdinov
Roger C. Grosse
GAN
22
223
0
14 Nov 2016
Disentangling factors of variation in deep representations using
  adversarial training
Disentangling factors of variation in deep representations using adversarial training
Michaël Mathieu
Jun Zhao
Pablo Sprechmann
Aditya A. Ramesh
Yann LeCun
DRL
CML
53
489
0
10 Nov 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
59
1,001
0
07 Nov 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb
Anirudh Goyal
Ying Zhang
Saizheng Zhang
Aaron Courville
Yoshua Bengio
GAN
66
588
0
27 Oct 2016
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
83
391
0
20 Oct 2016
Removal of Batch Effects using Distribution-Matching Residual Networks
Removal of Batch Effects using Distribution-Matching Residual Networks
Uri Shaham
Kelly P. Stanton
Jun Zhao
Huamin Li
K. Raddassi
Ruth R. Montgomery
Y. Kluger
26
160
0
13 Oct 2016
Learning in Implicit Generative Models
Learning in Implicit Generative Models
S. Mohamed
Balaji Lakshminarayanan
GAN
25
412
0
11 Oct 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GAN
VGen
103
1,462
0
08 Sep 2016
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