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Energy-based Generative Adversarial Network

Energy-based Generative Adversarial Network

11 September 2016
J. Zhao
Michaël Mathieu
Yann LeCun
    GAN
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Papers citing "Energy-based Generative Adversarial Network"

50 / 508 papers shown
Title
Game of Learning Bloch Equation Simulations for MR Fingerprinting
Game of Learning Bloch Equation Simulations for MR Fingerprinting
Mingrui Yang
Yun Jiang
D. Ma
Bhairav B. Mehta
M. Griswold
6
19
0
05 Apr 2020
Imbalanced Data Learning by Minority Class Augmentation using Capsule
  Adversarial Networks
Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks
Pourya Shamsolmoali
Masoumeh Zareapoor
Linlin Shen
A. Sadka
Jie Yang
GAN
MedIm
16
65
0
05 Apr 2020
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling
  by Exploring Energy of the Discriminator
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator
Yuxuan Song
Qiwei Ye
Minkai Xu
Tie-Yan Liu
17
8
0
05 Apr 2020
Towards Stable and Comprehensive Domain Alignment: Max-Margin
  Domain-Adversarial Training
Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training
Jianfei Yang
Han Zou
Yuxun Zhou
Lihua Xie
OOD
14
6
0
30 Mar 2020
BigGAN-based Bayesian reconstruction of natural images from human brain
  activity
BigGAN-based Bayesian reconstruction of natural images from human brain activity
Kai Qiao
Jian Chen
Linyuan Wang
Chi Zhang
Li Tong
Bin Yan
GAN
19
28
0
13 Mar 2020
Your GAN is Secretly an Energy-based Model and You Should use
  Discriminator Driven Latent Sampling
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
Tong Che
Ruixiang Zhang
Jascha Narain Sohl-Dickstein
Hugo Larochelle
Liam Paull
Yuan Cao
Yoshua Bengio
DiffM
DRL
19
111
0
12 Mar 2020
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with
  Generative Adversarial Nets
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets
Yonghyun Jeong
Hyunjin Choi
Byoungjip Kim
Youngjune Gwon
GAN
14
6
0
04 Mar 2020
GANs with Conditional Independence Graphs: On Subadditivity of
  Probability Divergences
GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences
Mucong Ding
C. Daskalakis
S. Feizi
GAN
24
2
0
02 Mar 2020
A U-Net Based Discriminator for Generative Adversarial Networks
A U-Net Based Discriminator for Generative Adversarial Networks
Edgar Schönfeld
Bernt Schiele
Anna Khoreva
GAN
25
291
0
28 Feb 2020
Max-Affine Spline Insights into Deep Generative Networks
Max-Affine Spline Insights into Deep Generative Networks
Randall Balestriero
Sébastien Paris
Richard Baraniuk
DRL
AI4CE
19
15
0
26 Feb 2020
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI
  Systems
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI Systems
Vineel Nagisetty
Laura Graves
Joseph Scott
Vijay Ganesh
GAN
DRL
16
27
0
24 Feb 2020
Learning to Inpaint by Progressively Growing the Mask Regions
Learning to Inpaint by Progressively Growing the Mask Regions
Mohamed Abbas Hedjazi
Yakup Genç
CLL
20
5
0
21 Feb 2020
A Novel Framework for Selection of GANs for an Application
A Novel Framework for Selection of GANs for an Application
Tanya Motwani
Manojkumar Somabhai Parmar
19
8
0
20 Feb 2020
GANILLA: Generative Adversarial Networks for Image to Illustration
  Translation
GANILLA: Generative Adversarial Networks for Image to Illustration Translation
Samet Hicsonmez
Nermin Samet
Emre Akbas
P. D. Sahin
EGVM
GAN
19
46
0
13 Feb 2020
Real or Not Real, that is the Question
Real or Not Real, that is the Question
Yuanbo Xiangli
Yubin Deng
Bo Dai
Chen Change Loy
Dahua Lin
GAN
70
47
0
12 Feb 2020
Unbalanced GANs: Pre-training the Generator of Generative Adversarial
  Network using Variational Autoencoder
Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder
Hyung-Gi Ham
Tae Joon Jun
Daeyoung Kim
DRL
GAN
6
21
0
06 Feb 2020
Anomaly Detection by One Class Latent Regularized Networks
Anomaly Detection by One Class Latent Regularized Networks
Chengwei Chen
Pan Chen
Haichuan Song
Y. Tao
Yuan Xie
Shouhong Ding
Lizhuang Ma
GAN
14
0
0
05 Feb 2020
Designing GANs: A Likelihood Ratio Approach
Designing GANs: A Likelihood Ratio Approach
Kalliopi Basioti
G. Moustakides
GAN
6
2
0
03 Feb 2020
Adversarial Code Learning for Image Generation
Adversarial Code Learning for Image Generation
Jiangbo Yuan
Bing Wu
Wanying Ding
Q. Ping
Zhendong Yu
GAN
23
0
0
30 Jan 2020
Reducing the Representation Error of GAN Image Priors Using the Deep
  Decoder
Reducing the Representation Error of GAN Image Priors Using the Deep Decoder
Max Daniels
Paul Hand
Reinhard Heckel
GAN
13
2
0
23 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
26
817
0
20 Jan 2020
microbatchGAN: Stimulating Diversity with Multi-Adversarial
  Discrimination
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
Gonçalo Mordido
Haojin Yang
Christoph Meinel
11
22
0
10 Jan 2020
Alleviation of Gradient Exploding in GANs: Fake Can Be Real
Alleviation of Gradient Exploding in GANs: Fake Can Be Real
Song Tao
Jia Wang
GAN
19
18
0
28 Dec 2019
Learning Canonical Representations for Scene Graph to Image Generation
Learning Canonical Representations for Scene Graph to Image Generation
Roei Herzig
Amir Bar
Huijuan Xu
Gal Chechik
Trevor Darrell
Amir Globerson
GNN
OCL
14
107
0
16 Dec 2019
Brain-Inspired Inference on Missing Video Sequence
Brain-Inspired Inference on Missing Video Sequence
Weimian Li
Baoyang Chen
Wenmin Wang
11
0
0
15 Dec 2019
Generating Videos of Zero-Shot Compositions of Actions and Objects
Generating Videos of Zero-Shot Compositions of Actions and Objects
Megha Nawhal
Mengyao Zhai
Andreas M. Lehrmann
Leonid Sigal
Greg Mori
21
1
0
05 Dec 2019
Flow Contrastive Estimation of Energy-Based Models
Flow Contrastive Estimation of Energy-Based Models
Ruiqi Gao
Erik Nijkamp
Diederik P. Kingma
Zhen Xu
Andrew M. Dai
Ying Nian Wu
GAN
14
111
0
02 Dec 2019
Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring
Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring
Kunjin Chen
Yu Zhang
Qin Wang
Jun Hu
Hang Fan
Jinliang He
19
92
0
17 Nov 2019
Human Annotations Improve GAN Performances
Human Annotations Improve GAN Performances
Juanyong Duan
S. Ong
Qi Zhao
27
0
0
15 Nov 2019
Natural and Realistic Single Image Super-Resolution with Explicit
  Natural Manifold Discrimination
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination
Jae Woong Soh
G. Park
Junho Jo
N. Cho
SupR
25
107
0
09 Nov 2019
Improving Joint Training of Inference Networks and Structured Prediction
  Energy Networks
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks
Lifu Tu
Richard Yuanzhe Pang
Kevin Gimpel
22
12
0
07 Nov 2019
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy
  and Diabetic Macular Edema Grading
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
X. Li
Xiaowei Hu
Lequan Yu
Lei Zhu
Chi-Wing Fu
Pheng-Ann Heng
MedIm
14
297
0
04 Nov 2019
Towards Learning Structure via Consensus for Face Segmentation and
  Parsing
Towards Learning Structure via Consensus for Face Segmentation and Parsing
I. Masi
Joe Mathai
Wael AbdAlmageed
CVBM
19
16
0
03 Nov 2019
Adversarial Fisher Vectors for Unsupervised Representation Learning
Adversarial Fisher Vectors for Unsupervised Representation Learning
Shuangfei Zhai
Walter A. Talbott
Carlos Guestrin
J. Susskind
GAN
22
8
0
29 Oct 2019
Machine Vision for Improved Human-Robot Cooperation in Adverse
  Underwater Conditions
Machine Vision for Improved Human-Robot Cooperation in Adverse Underwater Conditions
M. Islam
15
0
0
29 Oct 2019
Discriminator optimal transport
Discriminator optimal transport
A. Tanaka
OT
17
54
0
15 Oct 2019
Irregular Convolutional Auto-Encoder on Point Clouds
Irregular Convolutional Auto-Encoder on Point Clouds
Yuhui Zhang
G. Gutmann
Konagaya Akihiko
3DPC
20
2
0
07 Oct 2019
Adversarial Colorization Of Icons Based On Structure And Color
  Conditions
Adversarial Colorization Of Icons Based On Structure And Color Conditions
Tsai-Ho Sun
Chien-Hsun Lai
Sai-Keung Wong
Yu-Shuen Wang
GAN
8
33
0
03 Oct 2019
"Best-of-Many-Samples" Distribution Matching
"Best-of-Many-Samples" Distribution Matching
Apratim Bhattacharyya
Mario Fritz
Bernt Schiele
GAN
DRL
19
4
0
27 Sep 2019
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning
  from Natural Language
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language
Zhi Chen
Jingjing Li
Yadan Luo
Zi Huang
Yang Yang
GAN
23
41
0
21 Sep 2019
Dual Encoder-Decoder based Generative Adversarial Networks for
  Disentangled Facial Representation Learning
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning
Cong Hu
Zhenhua Feng
Xiaojun Wu
J. Kittler
CVBM
GAN
DRL
8
11
0
19 Sep 2019
BasketballGAN: Generating Basketball Play Simulation Through Sketching
BasketballGAN: Generating Basketball Play Simulation Through Sketching
Hsin-Ying Hsieh
Chieh-Yu Chen
Yu-Shuen Wang
Jung-Hong Chuang
12
18
0
16 Sep 2019
TorchGAN: A Flexible Framework for GAN Training and Evaluation
TorchGAN: A Flexible Framework for GAN Training and Evaluation
Avik Pal
Aniket Das
19
15
0
08 Sep 2019
On the Need for Topology-Aware Generative Models for Manifold-Based
  Defenses
On the Need for Topology-Aware Generative Models for Manifold-Based Defenses
Uyeong Jang
Susmit Jha
S. Jha
AAML
17
13
0
07 Sep 2019
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video
  Translation
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation
Kwanyong Park
Sanghyun Woo
Dahun Kim
Donghyeon Cho
In So Kweon
VGen
25
38
0
21 Aug 2019
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for
  Multi-Modal Data Distributions
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
Jogendra Nath Kundu
Maharshi Gor
Dakshit Agrawal
R. Venkatesh Babu
GAN
17
11
0
11 Aug 2019
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial
  Cross-Task Distillation
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation
Jogendra Nath Kundu
Nishank Lakkakula
R. Venkatesh Babu
19
59
0
11 Aug 2019
Semi-Supervised Self-Growing Generative Adversarial Networks for Image
  Recognition
Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition
Haoqian Wang
Zhiwei Xu
Jun Xu
Wangpeng An
Lei Zhang
Qionghai Dai
GAN
13
8
0
11 Aug 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Xinyu Gong
Shiyu Chang
Yifan Jiang
Zhangyang Wang
GAN
29
263
0
11 Aug 2019
Learning to Transport with Neural Networks
Learning to Transport with Neural Networks
Andrea Schioppa
OT
17
0
0
04 Aug 2019
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