arxiv:2103.00070

Knowledge-aware Zero-Shot Learning: Survey and Perspective

Published on Feb 26, 2021

Authors:

Zhuo Chen ,

Abstract

A literature review of zero-shot learning with a focus on the role and types of external symbolic knowledge, comparing various methods and their effectiveness.

AI-generated 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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