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Knowledge-aware zero-shot learning: survey and perspective

Abstract:
Zero-shot learning (ZSL) which aims at predicting classes that have never appeared during the training using external knowledge (a.k.a. side information) has been widely investigated. In this paper we present a literature review towards ZSL in the perspective of external knowledge, where we categorize the external knowledge, review their methods and compare different external knowledge. With the literature review, we further discuss and outlook the role of symbolic knowledge in addressing ZSL and other machine learning sample shortage issues.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.24963/ijcai.2021/597

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Oriel College
Role:
Author
ORCID:
0000-0002-2685-7462
Publisher:
International Joint Conferences on Artificial Intelligence
Host title:
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
Pages:
4366-4373
Publication date:
2021-08-11
Event title:
30th International Joint Conference on Artificial Intelligence (IJCAI-21)
Event location:
Montreal, Canada
Event website:
https://ijcai-21.org/
Event start date:
2021-08-19
Event end date:
2021-08-26
DOI:
ISSN:
1045-0823
EISBN:
9780999241196
Language:
English
Keywords:
Pubs id:
1243003
Local pid:
pubs:1243003
Deposit date:
2023-02-15

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