A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities. (arXiv:2205.06743v1 [cs.LG])

Few-shot learning (FSL) has emerged as an effective learning method and shows
great potential. Despite the recent creative works in tackling FSL tasks,
learning valid information rapidly from just a few or even zero samples still
remains a serious challenge. In this context, we extensively investigated 200+
latest papers on FSL published in the past three years, aiming to present a
timely and comprehensive overview of the most recent advances in FSL along with
impartial comparisons of the strengths and …

applications arxiv challenges evolution few-shot learning learning survey