Publication detail

Residual Memory Networks in Language Modeling: Improving the Reputation of Feed-Forward Networks

BENEŠ, K. BASKAR, M. BURGET, L.

Original Title

Residual Memory Networks in Language Modeling: Improving the Reputation of Feed-Forward Networks

Type

conference paper

Language

English

Original Abstract

The paper describes the residual memory networks in language modeling: Improving the Reputation of Feed-Forward Networks.

Keywords

residual memory networks, feed-forward networks, language modeling

Authors

BENEŠ, K.; BASKAR, M.; BURGET, L.

Released

20. 8. 2017

Publisher

International Speech Communication Association

Location

Stockholm

ISBN

1990-9772

Periodical

Proceedings of Interspeech

Year of study

2017

Number

08

State

French Republic

Pages from

284

Pages to

288

Pages count

5

URL

http://www.isca-speech.org/archive/Interspeech_2017/pdfs/1442.PDF

BibTex

@inproceedings{BUT144489,
  author="Karel {Beneš} and Murali Karthick {Baskar} and Lukáš {Burget}",
  title="Residual Memory Networks in Language Modeling: Improving the Reputation of Feed-Forward Networks",
  booktitle="Proceedings of Interspeeech 2017",
  year="2017",
  journal="Proceedings of Interspeech",
  volume="2017",
  number="08",
  pages="284--288",
  publisher="International Speech Communication Association",
  address="Stockholm",
  doi="10.21437/Interspeech.2017-1442",
  issn="1990-9772",
  url="http://www.isca-speech.org/archive/Interspeech_2017/pdfs/1442.PDF"
}

Documents

benes_interspeech2017_IS171442.pdf