English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 DetailsSummary
  Sequence Tutor: Conservative fine-tuning of sequence generation models with KL-control

Jaques, N., Gu, S., Bahdanau, D., Hernández-Lobato, J. M., Turner, R. E., & Eck, D. (2017). Sequence Tutor: Conservative fine-tuning of sequence generation models with KL-control. In D. Precup, & Y. W. Teh (Eds.), Proceedings of the 34th International Conference on Machine Learning (pp. 1645-1654). PMLR. Retrieved from http://proceedings.mlr.press/v70/jaques17a.html.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0000-F9E1-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-BF55-7
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Jaques, Natasha1, Author
Gu, Shixiang2, Author           
Bahdanau, Dzmitry1, Author
Hernández-Lobato, José Miguel1, Author
Turner, Richard E.1, Author
Eck, Douglas1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

Content

show
hide
Free keywords: Abt. Schölkopf
 Abstract: -

Details

show
hide
Language(s): eng - English
 Dates: 2017-08
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Jaquesetal17
URI: http://proceedings.mlr.press/v70/jaques17a.html
 Degree: -

Event

show
hide
Title: 34th International Conference on Machine Learning (ICML)
Place of Event: Sydney, Australia
Start-/End Date: 2017-08-06 - 2017-08-11

Legal Case

show

Project information

show

Source 1

show
hide
Title: Proceedings of the 34th International Conference on Machine Learning
Source Genre: Proceedings
 Creator(s):
Precup, D.1, Editor
Teh, Y. W.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: PMLR
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1645 - 1654 Identifier: URI: http://proceedings.mlr.press/v70/

Source 2

show
hide
Title: Proceedings of Machine Learning Research (PMLR)
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 70 Sequence Number: - Start / End Page: - Identifier: ISSN: 1938-7228