zero-shot learning

English

Noun

zero-shot learning (uncountable)

1. (machine learning) A problem setup in machine learning, where, at test time, a learner observes samples from classes that were not observed during training and attempts to predict the class that they belong to, typically based on auxiliary information.

   Coordinate terms: few-shot learning, N-shot learning, one-shot learning