Web: http://arxiv.org/abs/2202.02794

June 17, 2022, 1:11 a.m. | Guy Hacohen, Avihu Dekel, Daphna Weinshall

cs.LG updates on arXiv.org arxiv.org

Investigating active learning, we focus on the relation between the number of
labeled examples (budget size), and suitable querying strategies. Our
theoretical analysis shows a behavior reminiscent of phase transition: typical
examples are best queried when the budget is low, while unrepresentative
examples are best queried when the budget is large. Combined evidence shows
that a similar phenomenon occurs in common classification models. Accordingly,
we propose TypiClust -- a deep active learning strategy suited for low budgets.
In a comparative …

active learning arxiv budget learning lg on strategies

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