Quasi-Multitask Learning: an Efficient Surrogate for Obtaining Model Ensembles

Kis-Szabó Norbert and Berend Gábor: Quasi-Multitask Learning: an Efficient Surrogate for Obtaining Model Ensembles.
In: Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing. Association for Computational Linguistics (ACL), Online, pp. 97-106. (2020)

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Creators:
Kis-Szabó Norbert
Berend Gábor MTMT
Item Type: Book Section
Date: 2020
Number of Pages: 10
Page Range: pp. 97-106
Publisher: Association for Computational Linguistics (ACL)
Place of Publication: Online
Faculty/Unit: Faculty of Science and Informatics
Institution: University of Szeged (2000-)
Language: English
MTMT rekordazonosító: 31685784
DOI azonosító: https://doi.org/10.18653/v1/2020.sustainlp-1.13
Related URLs:
Date Deposited: 2020. Dec. 11. 10:17
Last Modified: 2020. Dec. 11. 10:17
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/20037

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