Deep state space models for unconditional word generation

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Author
Schmidt, Florian
Hofmann, Thomas
Date
2019
Type
    Conference Paper
Rights / license
In Copyright - Non-Commercial Use Permitted
Permanent link
https://doi.org/10.3929/ethz-b-000310312
Publication status
published
External links
https://papers.nips.cc/paper/7854-deep-state-space-models-for-unconditional-word-generation
Editor
Bengio, Samy
Wallach, Hanna M.
Larochelle, Hugo
Grauman, Kristen
Cesa-Bianchi, Nicolò
Garnett, Roman
Book title
Advances in Neural Information Processing Systems 31
Pages / Article No.
6158 - 6168
Publisher
Curran
Event
32nd Annual Conference on Neural Information Processing Systems (NeurIPS 2018), Montreal, Canada, December 3-8, 2018
Organisational unit
02661 - Institut für Maschinelles Lernen / Institute for Machine Learning
09462 - Hofmann, Thomas / Hofmann, Thomas  
Notes
Poster presentation
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Citations
Cited 1 times in Web of Science
ETH Bibliography
yes
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