English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Comparison of Maximum Likelihood and GAN-based training of Real NVPs

Danihelka, I., Lakshminarayanan, B., Uria, B., Wierstra, D., & Dayan, P. (submitted). Comparison of Maximum Likelihood and GAN-based training of Real NVPs.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0002-6857-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-6858-7
Genre: Journal Article

Files

show Files

Locators

show
hide
Locator:
https://arxiv.org/abs/1705.05263 (Any fulltext)
Description:
-

Creators

show
hide
 Creators:
Danihelka, I, Author
Lakshminarayanan, B, Author
Uria, B, Author
Wierstra, D, Author
Dayan, P1, Author              
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: We train a generator by maximum likelihood and we also train the same generator architecture by Wasserstein GAN. We then compare the generated samples, exact log-probability densities and approximate Wasserstein distances. We show that an independent critic trained to approximate Wasserstein distance between the validation set and the generator distribution helps detect overfitting. Finally, we use ideas from the one-shot learning literature to develop a novel fast learning critic.

Details

show
hide
Language(s):
 Dates: 2017-05-15
 Publication Status: Submitted
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: -
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -