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Unrolled Generative Adversarial Networks

Unrolled Generative Adversarial Networks

7 November 2016
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
    GAN
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Papers citing "Unrolled Generative Adversarial Networks"

50 / 514 papers shown
Title
Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders
Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders
Natasa Tagasovska
Damien Ackerer
Thibault Vatter
TPM
17
27
0
12 Jun 2019
Task Agnostic Continual Learning via Meta Learning
Task Agnostic Continual Learning via Meta Learning
Xu He
Jakub Sygnowski
Alexandre Galashov
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
OOD
CLL
FedML
13
94
0
12 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
MedIm
EGVM
29
90
0
04 Jun 2019
Convergence of Learning Dynamics in Stackelberg Games
Convergence of Learning Dynamics in Stackelberg Games
Tanner Fiez
Benjamin J. Chasnov
Lillian J. Ratliff
11
92
0
04 Jun 2019
Encoder-Powered Generative Adversarial Networks
Encoder-Powered Generative Adversarial Networks
Jiseob Kim
Seungjae Jung
Hyun-Dong Lee
Byoung-Tak Zhang
GAN
DRL
6
1
0
03 Jun 2019
Near-Term Quantum-Classical Associative Adversarial Networks
Near-Term Quantum-Classical Associative Adversarial Networks
Eric R. Anschütz
Cristian Zanoci
GAN
11
13
0
30 May 2019
Semi-Implicit Generative Model
Semi-Implicit Generative Model
Mingzhang Yin
Mingyuan Zhou
VLM
GAN
31
3
0
29 May 2019
Competitive Gradient Descent
Competitive Gradient Descent
Florian Schäfer
Anima Anandkumar
19
102
0
28 May 2019
Revisiting Stochastic Extragradient
Revisiting Stochastic Extragradient
Konstantin Mishchenko
D. Kovalev
Egor Shulgin
Peter Richtárik
Yura Malitsky
6
66
0
27 May 2019
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring
  for Minimax Problems
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Ernest K. Ryu
Kun Yuan
W. Yin
20
36
0
26 May 2019
Generative Latent Flow
Generative Latent Flow
Zhisheng Xiao
Qing Yan
Y. Amit
DRL
9
15
0
24 May 2019
Discrete Flows: Invertible Generative Models of Discrete Data
Discrete Flows: Invertible Generative Models of Discrete Data
Dustin Tran
Keyon Vafa
Kumar Krishna Agrawal
Laurent Dinh
Ben Poole
DRL
24
114
0
24 May 2019
Data-Driven Crowd Simulation with Generative Adversarial Networks
Data-Driven Crowd Simulation with Generative Adversarial Networks
Javad Amirian
W. V. Toll
J. Hayet
J. Pettré
GAN
11
28
0
23 May 2019
Biosignal Generation and Latent Variable Analysis with Recurrent
  Generative Adversarial Networks
Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks
S. Harada
Hideaki Hayashi
S. Uchida
GAN
19
21
0
17 May 2019
Learning Generative Models across Incomparable Spaces
Learning Generative Models across Incomparable Spaces
Charlotte Bunne
David Alvarez-Melis
Andreas Krause
Stefanie Jegelka
GAN
19
112
0
14 May 2019
Revisiting Precision and Recall Definition for Generative Model
  Evaluation
Revisiting Precision and Recall Definition for Generative Model Evaluation
Loïc Simon
Ryan Webster
Julien Rabin
13
16
0
14 May 2019
Differentiable Game Mechanics
Differentiable Game Mechanics
Alistair Letcher
David Balduzzi
S. Racanière
James Martens
Jakob N. Foerster
K. Tuyls
T. Graepel
37
79
0
13 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
AI4CE
GAN
17
27
0
07 May 2019
Social Ways: Learning Multi-Modal Distributions of Pedestrian
  Trajectories with GANs
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs
Javad Amirian
J. Hayet
J. Pettré
GAN
20
269
0
20 Apr 2019
Improved Precision and Recall Metric for Assessing Generative Models
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
28
825
0
15 Apr 2019
Predicting Novel Views Using Generative Adversarial Query Network
Predicting Novel Views Using Generative Adversarial Query Network
Phong Nguyen-Ha
Lam Huynh
Esa Rahtu
J. Heikkilä
GAN
15
7
0
10 Apr 2019
Jointly Measuring Diversity and Quality in Text Generation Models
Jointly Measuring Diversity and Quality in Text Generation Models
Ehsan Montahaei
Danial Alihosseini
M. Baghshah
27
76
0
08 Apr 2019
Normalized Diversification
Normalized Diversification
Shaohui Liu
Xiao Zhang
Jianqiao Wangni
Jianbo Shi
GAN
DiffM
25
20
0
07 Apr 2019
Snore-GANs: Improving Automatic Snore Sound Classification with
  Synthesized Data
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data
Zixing Zhang
Jing Han
Kun Qian
C. Janott
Yanan Guo
Bjoern Schuller
8
41
0
29 Mar 2019
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks
Animesh Karnewar
Oliver Wang
GAN
12
50
0
14 Mar 2019
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Qi Mao
Hsin-Ying Lee
Hung-Yu Tseng
Siwei Ma
Ming-Hsuan Yang
GAN
28
404
0
13 Mar 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using
  Structured Best-Response Functions
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
M. Mackay
Paul Vicol
Jonathan Lorraine
David Duvenaud
Roger C. Grosse
27
164
0
07 Mar 2019
Convergence of Multi-Agent Learning with a Finite Step Size in
  General-Sum Games
Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games
Xinliang Song
Tonghan Wang
Chongjie Zhang
30
13
0
07 Mar 2019
Domain Partitioning Network
Domain Partitioning Network
Botos Csaba
A. Boukhayma
Viveka Kulharia
A. Horváth
Philip H. S. Torr
GAN
11
1
0
21 Feb 2019
Lipschitz Generative Adversarial Nets
Lipschitz Generative Adversarial Nets
Zhiming Zhou
Jiadong Liang
Yuxuan Song
Lantao Yu
Hongwei Wang
Weinan Zhang
Yong Yu
Zhihua Zhang
GAN
17
78
0
15 Feb 2019
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
Peilin Zhong
Yuchen Mo
Chang Xiao
Pengyu Chen
Changxi Zheng
19
5
0
13 Feb 2019
MISO: Mutual Information Loss with Stochastic Style Representations for
  Multimodal Image-to-Image Translation
MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation
Sanghyeon Na
Seungjoo Yoo
Jaegul Choo
6
16
0
11 Feb 2019
Synthetic Data Generators: Sequential and Private
Synthetic Data Generators: Sequential and Private
Olivier Bousquet
Roi Livni
Shay Moran
SyDa
8
12
0
09 Feb 2019
Generating the support with extreme value losses
Generating the support with extreme value losses
N. Guttenberg
13
0
0
08 Feb 2019
Mode Collapse and Regularity of Optimal Transportation Maps
Mode Collapse and Regularity of Optimal Transportation Maps
Na Lei
Yang Guo
Dongsheng An
Xin Qi
Zhongxuan Luo
S. Yau
X. Gu
OT
14
28
0
08 Feb 2019
Beholder-GAN: Generation and Beautification of Facial Images with
  Conditioning on Their Beauty Level
Beholder-GAN: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level
Nir Diamant
Dean Zadok
Chaim Baskin
Eli Schwartz
A. Bronstein
CVBM
DiffM
14
32
0
07 Feb 2019
Knowledge-Based Regularization in Generative Modeling
Knowledge-Based Regularization in Generative Modeling
Naoya Takeishi
Yoshinobu Kawahara
GAN
20
0
0
06 Feb 2019
End-to-end Lane Detection through Differentiable Least-Squares Fitting
End-to-end Lane Detection through Differentiable Least-Squares Fitting
Wouter Van Gansbeke
Bert De Brabandere
D. Neven
Marc Proesmans
Luc Van Gool
11
133
0
01 Feb 2019
Diversity Regularized Adversarial Learning
Diversity Regularized Adversarial Learning
B. Ayinde
Keishin Nishihama
J. Zurada
GAN
14
1
0
30 Jan 2019
Heartbeat Anomaly Detection using Adversarial Oversampling
Heartbeat Anomaly Detection using Adversarial Oversampling
Jefferson L. P. Lima
David Macêdo
Cleber Zanchettin
14
19
0
28 Jan 2019
Out-of-Sample Testing for GANs
Out-of-Sample Testing for GANs
Pablo Sánchez-Martín
Pablo Martínez Olmos
Fernando Perez-Cruz
22
2
0
28 Jan 2019
Diversity-Sensitive Conditional Generative Adversarial Networks
Diversity-Sensitive Conditional Generative Adversarial Networks
Dingdong Yang
Seunghoon Hong
Y. Jang
Tianchen Zhao
Honglak Lee
GAN
39
214
0
25 Jan 2019
Virtual Conditional Generative Adversarial Networks
Virtual Conditional Generative Adversarial Networks
Haifeng Shi
Guanyu Cai
Yuqin Wang
Shaohua Shang
Lianghua He
GAN
11
0
0
25 Jan 2019
Multi-objective training of Generative Adversarial Networks with
  multiple discriminators
Multi-objective training of Generative Adversarial Networks with multiple discriminators
Isabela Albuquerque
João Monteiro
T. Doan
Breandan Considine
T. Falk
Ioannis Mitliagkas
22
66
0
24 Jan 2019
Maximum Entropy Generators for Energy-Based Models
Maximum Entropy Generators for Energy-Based Models
Rithesh Kumar
Sherjil Ozair
Anirudh Goyal
Aaron Courville
Yoshua Bengio
11
112
0
24 Jan 2019
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and
  Image-to-Image Translation
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation
Wei Sun
Tianfu Wu
21
13
0
18 Jan 2019
Domain Adaptation for Structured Output via Discriminative Patch
  Representations
Domain Adaptation for Structured Output via Discriminative Patch Representations
Yi-Hsuan Tsai
Kihyuk Sohn
S. Schulter
Manmohan Chandraker
OOD
38
319
0
16 Jan 2019
Introducing a Generative Adversarial Network Model for Lagrangian
  Trajectory Simulation
Introducing a Generative Adversarial Network Model for Lagrangian Trajectory Simulation
Jingwei Gan
Pai Liu
R. Chakrabarty
GAN
11
0
0
13 Jan 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Ryan Webster
Julien Rabin
Loïc Simon
F. Jurie
GAN
14
99
0
09 Jan 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution
Adversarial Learning of a Sampler Based on an Unnormalized Distribution
Chunyuan Li
Ke Bai
Jianqiao Li
Guoyin Wang
Changyou Chen
Lawrence Carin
14
10
0
03 Jan 2019
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