A concise review of recent few-shot meta-learning methods

doi:10.1016/j.neucom.2020.05.114

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	A concise review of recent few-shot meta-learning methods
	Li, Xiaoxu 1; Sun, Zhuo 2; Xue, Jing-Hao 2; Ma, Zhanyu 3
刊名	NEUROCOMPUTING
	2021-10-07
卷号	456 页码:463-468
关键词	Meta Learning Few-shot Learning Image Classification Deep Neural Networks Small-sample Learning
ISSN号	0925-2312
DOI	10.1016/j.neucom.2020.05.114
英文摘要	Few-shot meta-learning has been recently reviving with expectations to mimic humanity's fast adaption to new concepts based on prior knowledge. In this short communication, we give a concise review on recent representative methods in few-shot meta-learning, which are categorized into four branches according to their technical characteristics. We conclude this review with some vital current challenges and future prospects in few-shot meta-learning. (c) 2020 Elsevier B.V. All rights reserved.
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000687472700006
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/148493]
专题	兰州理工大学
作者单位	1.Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou, Peoples R China; 2.UCL, Dept Stat Sci, London, England; 3.Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Pattern Recognit & Intelligent Syst Lab, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Xiaoxu,Sun, Zhuo,Xue, Jing-Hao,et al. A concise review of recent few-shot meta-learning methods[J]. NEUROCOMPUTING,2021,456:463-468.
APA	Li, Xiaoxu,Sun, Zhuo,Xue, Jing-Hao,&Ma, Zhanyu.(2021).A concise review of recent few-shot meta-learning methods.NEUROCOMPUTING,456,463-468.
MLA	Li, Xiaoxu,et al."A concise review of recent few-shot meta-learning methods".NEUROCOMPUTING 456(2021):463-468.