A Concise Review of Recent Few-shot Meta-learning Methods [article]

Xiaoxu Li and Zhuo Sun and Jing-Hao Xue and Zhanyu Ma
2020 arXiv   pre-print
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.
arXiv:2005.10953v1 fatcat:v54jrpktazf3bfx4kqos4ls27y