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Computer Science > Artificial Intelligence

arXiv:2103.00070 (cs)
[Submitted on 26 Feb 2021 (v1), last revised 10 May 2021 (this version, v3)]

Title:Knowledge-aware Zero-Shot Learning: Survey and Perspective

Authors:Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan, Huajun Chen
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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.
Comments: Accepted by IJCAI'21 Survey Track
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
Cite as: arXiv:2103.00070 [cs.AI]
  (or arXiv:2103.00070v3 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2103.00070

Submission history

From: Jiaoyan Chen [view email]
[v1] Fri, 26 Feb 2021 22:18:09 UTC (106 KB)
[v2] Wed, 21 Apr 2021 17:45:26 UTC (106 KB)
[v3] Mon, 10 May 2021 08:35:41 UTC (105 KB)
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