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Non-parametric estimation of Jensen-Shannon Divergence in Generative
  Adversarial Network training
v1v2v3 (latest)

Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training

25 May 2017
M. Sinn
Ambrish Rawat
    GAN
ArXiv (abs)PDFHTML

Papers citing "Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training"

12 / 12 papers shown
Title
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming
  Generative Adversarial Networks
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks
R. Ramachandranpillai
Md Fahim Sikder
David Bergstrom
Fredrik Heintz
SyDa
284
10
0
21 Apr 2024
Matching aggregate posteriors in the variational autoencoder
Matching aggregate posteriors in the variational autoencoderInternational Conference on Pattern Recognition (ICPR), 2023
Surojit Saha
Sarang Joshi
Ross T. Whitaker
DRL
199
5
0
13 Nov 2023
EVHA: Explainable Vision System for Hardware Testing and Assurance -- An
  Overview
EVHA: Explainable Vision System for Hardware Testing and Assurance -- An OverviewACM Journal on Emerging Technologies in Computing Systems (JETC), 2022
Md. Mahfuz Al Hasan
MD Tahsin Mostafiz
Thomas An Le
Jake Julia
Nidish Vashistha
S. Taheri
Navid Asadizanjani
74
7
0
20 Jul 2022
KLIEP-based Density Ratio Estimation for Semantically Consistent
  Synthetic to Real Images Adaptation in Urban Traffic Scenes
KLIEP-based Density Ratio Estimation for Semantically Consistent Synthetic to Real Images Adaptation in Urban Traffic ScenesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Artem Savkin
Federico Tombari
154
1
0
26 May 2021
Towards A Multi-agent System for Online Hate Speech Detection
Towards A Multi-agent System for Online Hate Speech Detection
Gaurav Sahu
R. Cohen
Olga Vechtomova
181
11
0
03 May 2021
GENs: Generative Encoding Networks
GENs: Generative Encoding NetworksMachine-mediated learning (ML), 2020
Surojit Saha
Shireen Y. Elhabian
Ross T. Whitaker
GAN
129
9
0
28 Oct 2020
Sample weighting as an explanation for mode collapse in generative
  adversarial networks
Sample weighting as an explanation for mode collapse in generative adversarial networks
Aksel Wilhelm Wold Eide
Eilif Solberg
I. Kåsen
GAN
74
3
0
05 Oct 2020
On the Implicit Assumptions of GANs
On the Implicit Assumptions of GANs
Ke Li
Jitendra Malik
GAN
70
17
0
29 Nov 2018
Implicit Maximum Likelihood Estimation
Implicit Maximum Likelihood Estimation
Ke Li
Jitendra Malik
151
100
0
24 Sep 2018
Beyond Local Nash Equilibria for Adversarial Networks
Beyond Local Nash Equilibria for Adversarial Networks
F. Oliehoek
Rahul Savani
Jose Gallego-Posada
Elise van der Pol
R. Groß
GAN
241
43
0
18 Jun 2018
Training Generative Adversarial Networks via Primal-Dual Subgradient
  Methods: A Lagrangian Perspective on GAN
Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN
Xu Chen
Jiang Wang
Hao Ge
GAN
148
14
0
06 Feb 2018
On the Discrimination-Generalization Tradeoff in GANs
On the Discrimination-Generalization Tradeoff in GANs
Pengchuan Zhang
Qiang Liu
Dengyong Zhou
Tao Xu
Xiaodong He
129
108
0
07 Nov 2017
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