Automatic temporal relation in multi-task learning

Zhou, M. and Yang, P. orcid.org/0000-0002-8553-7127 (2023) Automatic temporal relation in multi-task learning. In: KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 06-10 Aug 2023, Long Beach, CA, USA. Association for Computing Machinery (ACM) , pp. 3570-3580. ISBN 9798400701030

Abstract

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Item Type: Proceedings Paper
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© 2023 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, http://dx.doi.org/10.1145/3580305.3599261.

Keywords: multi-task learning; automatic temporal relation
Dates:
  • Published: 4 August 2023
  • Accepted: 16 May 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
INNOVATE UK
TS/V002953/1
Depositing User: Symplectic Sheffield
Date Deposited: 24 May 2023 09:12
Last Modified: 11 Sep 2023 08:42
Status: Published
Publisher: Association for Computing Machinery (ACM)
Refereed: Yes
Identification Number: 10.1609/aaai.v37i9.26351
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