A concise review of recent few-shot meta-learning methods
[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.
[发布日期] 2021-10-07 [发布机构]
[效力级别] [学科分类]
[关键词] Meta Learning;Few-shot Learning;Image Classification;Deep Neural Networks;Small-sample Learning [时效性]
