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Boundary-Seeking Generative Adversarial Networks

Boundary-Seeking Generative Adversarial Networks

27 February 2017
R. Devon Hjelm
Athul Paul Jacob
Tong Che
Adam Trischler
Kyunghyun Cho
Yoshua Bengio
    GAN
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Papers citing "Boundary-Seeking Generative Adversarial Networks"

33 / 33 papers shown
Title
Reinforcement Learning for Generative AI: A Survey
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
46
10
0
28 Aug 2023
A survey on text generation using generative adversarial networks
A survey on text generation using generative adversarial networks
Gustavo de Rosa
João Paulo Papa
GAN
32
88
0
20 Dec 2022
Artificial Intelligence for In Silico Clinical Trials: A Review
Artificial Intelligence for In Silico Clinical Trials: A Review
Zifeng Wang
Chufan Gao
Lucas Glass
Jimeng Sun
24
12
0
16 Sep 2022
A review of Generative Adversarial Networks for Electronic Health
  Records: applications, evaluation measures and data sources
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Ghadeer O. Ghosheh
Jin Li
T. Zhu
32
32
0
14 Mar 2022
Generative Cooperative Networks for Natural Language Generation
Generative Cooperative Networks for Natural Language Generation
Sylvain Lamprier
Thomas Scialom
Antoine Chaffin
Vincent Claveau
Ewa Kijak
Jacopo Staiano
Benjamin Piwowarski
GAN
46
13
0
28 Jan 2022
Generating Synthetic Mixed-type Longitudinal Electronic Health Records
  for Artificial Intelligent Applications
Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications
Jin Li
B. Cairns
Jingsong Li
T. Zhu
SyDa
38
69
0
22 Dec 2021
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample
  Generation on the Boundary
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary
Nikolaos Dionelis
Mehrdad Yaghoobi
Sotirios A. Tsaftaris
OODD
23
6
0
28 Oct 2021
Deep Neural Networks and Tabular Data: A Survey
Deep Neural Networks and Tabular Data: A Survey
V. Borisov
Tobias Leemann
Kathrin Seßler
Johannes Haug
Martin Pawelczyk
Gjergji Kasneci
LMTD
27
647
0
05 Oct 2021
Generative adversarial networks in time series: A survey and taxonomy
Generative adversarial networks in time series: A survey and taxonomy
Eoin Brophy
Zhengwei Wang
Qi She
Tomas E. Ward
EGVM
AI4TS
11
57
0
23 Jul 2021
Boundary of Distribution Support Generator (BDSG): Sample Generation on
  the Boundary
Boundary of Distribution Support Generator (BDSG): Sample Generation on the Boundary
Nikolaos Dionelis
Mehrdad Yaghoobi
Sotirios A. Tsaftaris
18
12
0
21 Jul 2021
Neural Natural Language Processing for Unstructured Data in Electronic
  Health Records: a Review
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Irene Z Li
Jessica Pan
Jeremy Goldwasser
Neha Verma
Wai Pan Wong
...
Matthew Zhang
David Chang
R. Taylor
H. Krumholz
Dragomir R. Radev
BDL
19
154
0
07 Jul 2021
Generative Adversarial Networks (GANs) in Networking: A Comprehensive
  Survey & Evaluation
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Hojjat Navidan
P. Moshiri
M. Nabati
Reza Shahbazian
S. Ghorashi
V. Shah-Mansouri
David Windridge
13
83
0
10 May 2021
Training Generative Adversarial Networks in One Stage
Training Generative Adversarial Networks in One Stage
Chengchao Shen
Youtan Yin
Xinchao Wang
Xubin Li
Jie Song
Xiuming Zhang
GAN
23
14
0
28 Feb 2021
A Survey on Generative Adversarial Networks: Variants, Applications, and
  Training
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
25
266
0
09 Jun 2020
Synthetic Observational Health Data with GANs: from slow adoption to a
  boom in medical research and ultimately digital twins?
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau
Elisa Cirillo
SyDa
AI4CE
36
17
0
27 May 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
22
8
0
05 Apr 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
818
0
20 Jan 2020
Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit
  classification
Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit classification
Vinay Uday Prabhu
Sanghyun Han
Dian Ang Yap
Mihail Douhaniaris
P. Seshadri
John Whaley
19
7
0
16 May 2019
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
Ziqiang Zheng
Yang Wu
Zhibin Yu
Yang Yang
Haiyong Zheng
T. Kanade
GAN
21
0
0
16 May 2019
Training Generative Adversarial Networks with Weights
Training Generative Adversarial Networks with Weights
Sufeng Duan
D. Paul
M. Fasoulakis
Y. Stylianou
GAN
21
6
0
06 Nov 2018
Adversarial Semantic Alignment for Improved Image Captions
Adversarial Semantic Alignment for Improved Image Captions
Pierre L. Dognin
Igor Melnyk
Youssef Mroueh
Jerret Ross
Tom Sercu
25
16
0
30 Apr 2018
Human Motion Modeling using DVGANs
Human Motion Modeling using DVGANs
Xiaoyu Lin
Mohamed R. Amer
24
75
0
27 Apr 2018
Adversarial Training of Variational Auto-encoders for High Fidelity
  Image Generation
Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation
Salman H. Khan
Munawar Hayat
Nick Barnes
GAN
DRL
19
20
0
27 Apr 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
Diviyan Kalainathan
Olivier Goudet
Isabelle M Guyon
David Lopez-Paz
Michèle Sebag
CML
24
93
0
13 Mar 2018
NetGAN: Generating Graphs via Random Walks
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski
Oleksandr Shchur
Daniel Zügner
Stephan Günnemann
GAN
GNN
29
360
0
02 Mar 2018
MaskGAN: Better Text Generation via Filling in the______
MaskGAN: Better Text Generation via Filling in the______
W. Fedus
Ian Goodfellow
Andrew M. Dai
24
468
0
23 Jan 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
30
1,452
0
13 Jan 2018
Comparative Study on Generative Adversarial Networks
Comparative Study on Generative Adversarial Networks
Saifuddin Hitawala
GAN
37
56
0
12 Jan 2018
Pulsar Candidate Identification with Artificial Intelligence Techniques
Pulsar Candidate Identification with Artificial Intelligence Techniques
Ping Guo
Fuqing Duan
Pei Wang
Yao Yao
Qian Yin
Xin Xin
20
14
0
27 Nov 2017
Learning Independent Features with Adversarial Nets for Non-linear ICA
Learning Independent Features with Adversarial Nets for Non-linear ICA
Philemon Brakel
Yoshua Bengio
OOD
CML
27
93
0
13 Oct 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
194
0
10 Jul 2017
On Unifying Deep Generative Models
On Unifying Deep Generative Models
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric P. Xing
DRL
GAN
41
127
0
02 Jun 2017
Style Transfer from Non-Parallel Text by Cross-Alignment
Style Transfer from Non-Parallel Text by Cross-Alignment
T. Shen
Tao Lei
Regina Barzilay
Tommi Jaakkola
39
767
0
26 May 2017
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