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1609.03126
Cited By
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
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
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
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
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
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
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
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
Mucong Ding
C. Daskalakis
S. Feizi
GAN
24
2
0
02 Mar 2020
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
Randall Balestriero
Sébastien Paris
Richard Baraniuk
DRL
AI4CE
19
15
0
26 Feb 2020
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
Mohamed Abbas Hedjazi
Yakup Genç
CLL
20
5
0
21 Feb 2020
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
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
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
Hyung-Gi Ham
Tae Joon Jun
Daeyoung Kim
DRL
GAN
6
21
0
06 Feb 2020
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
Kalliopi Basioti
G. Moustakides
GAN
6
2
0
03 Feb 2020
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
Max Daniels
Paul Hand
Reinhard Heckel
GAN
13
2
0
23 Jan 2020
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
Gonçalo Mordido
Haojin Yang
Christoph Meinel
11
22
0
10 Jan 2020
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
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
Weimian Li
Baoyang Chen
Wenmin Wang
11
0
0
15 Dec 2019
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
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
Kunjin Chen
Yu Zhang
Qin Wang
Jun Hu
Hang Fan
Jinliang He
19
92
0
17 Nov 2019
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
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
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
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
I. Masi
Joe Mathai
Wael AbdAlmageed
CVBM
19
16
0
03 Nov 2019
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
M. Islam
15
0
0
29 Oct 2019
Discriminator optimal transport
A. Tanaka
OT
17
54
0
15 Oct 2019
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
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
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
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
Cong Hu
Zhenhua Feng
Xiaojun Wu
J. Kittler
CVBM
GAN
DRL
8
11
0
19 Sep 2019
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
Avik Pal
Aniket Das
19
15
0
08 Sep 2019
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
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
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
Jogendra Nath Kundu
Nishank Lakkakula
R. Venkatesh Babu
19
59
0
11 Aug 2019
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
Xinyu Gong
Shiyu Chang
Yifan Jiang
Zhangyang Wang
GAN
29
263
0
11 Aug 2019
Learning to Transport with Neural Networks
Andrea Schioppa
OT
17
0
0
04 Aug 2019
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