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F

Few-shot learning

by Yee Wei Law - Thursday, 16 February 2023, 3:29 PM

Definition 1: Few-shot learning [WYKN20, Definition 2.2]

A type of machine learning problems (specified by experience $E$ , task $T$ and performance measure $P$ ), where $E$ contains only a limited number of examples with supervised information for $T$ .

References

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[WYKN20]	Y. Wang, Q. Yao, J. T. Kwok, and L. M. Ni, Generalizing from a few examples: A survey on few-shot learning, ACM Comput. Surv. 53 no. 3 (2020). https://doi.org/10.1145/3386252.

Keyword(s):

Cyber Engineering Knowledge Base

Artificial intelligence (including machine learning which includes deep learning)

F

Few-shot learning

References