Deep state space models for unconditional word generation

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Autor(in)
Schmidt, Florian
Hofmann, Thomas
Datum
2019
Typ
    Conference Paper
Rechte / Lizenz
In Copyright - Non-Commercial Use Permitted
Persistenter Link
https://doi.org/10.3929/ethz-b-000310312
Publikationsstatus
published
Externe Links
https://papers.nips.cc/paper/7854-deep-state-space-models-for-unconditional-word-generation
Herausgeber(in)
Bengio, Samy
Wallach, Hanna M.
Larochelle, Hugo
Grauman, Kristen
Cesa-Bianchi, Nicolò
Garnett, Roman
Buchtitel
Advances in Neural Information Processing Systems 31
Seiten / Artikelnummer
6158 - 6168
Verlag
Curran
Konferenz
32nd Annual Conference on Neural Information Processing Systems (NeurIPS 2018), Montreal, Canada, December 3-8, 2018
Organisationseinheit
02661 - Institut für Maschinelles Lernen / Institute for Machine Learning
09462 - Hofmann, Thomas / Hofmann, Thomas  
Anmerkungen
Poster presentation
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Zitate
1 Zitate in Web of Science
ETH Bibliographie
yes
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