Knowledge-aware Zero-Shot Learning: Survey and Perspective

Huajun Chen; Ian Horrocks; Jeff Z. Pan; Jiaoyan Chen; Yuxia Geng; Zhuo Chen

Knowledge-aware Zero-Shot Learning: Survey and Perspective

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arxiv 2103.00070 v3 pith:2J2YJHUS submitted 2021-02-26 cs.AI cs.LG

Jiaoyan Chen , Yuxia Geng , Zhuo Chen , Ian Horrocks , Jeff Z. Pan , Huajun Chen This is my paper · ORCID

classification cs.AIcs.LG

keywords knowledgeexternallearningreviewliteratureperspectivezero-shotaddressing

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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.

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