Knowledge-aware zero-shot learning: survey and perspective

Knowledge-aware zero-shot learning: survey and perspective

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 categori...

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Bibliographic Details
Main Authors: Chen, J, Geng, Y, Chen, Z, Horrocks, I, Pan, JZ, Chen, H
Format: Conference item
Language:English
Published: International Joint Conferences on Artificial Intelligence 2021
Description
Summary: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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