When does Active Learning Work?

Lewis Evans; Niall M. Adams; Christoforos Anagnostopoulos

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arXiv · 1408.1319

When does Active Learning Work?

Lewis Evans·Niall M. Adams·Christoforos Anagnostopoulos

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Abstract

Active Learning (AL) methods seek to improve classifier performance when labels are expensive or scarce. We consider two central questions: Where does AL work? How much does it help? To address these questions, a comprehensive experimental simulation study of Active Learning is presented. We consider a variety of tasks, classifiers and other AL factors, to present a broad exploration of AL performance in various settings. A precise way to quantify performance is needed in order to know when AL works. Thus we also present a detailed methodology for tackling the complexities of assessing AL performance in the context of this experimental study.

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Lewis Evans, Niall M. Adams, Christoforos Anagnostopoulos. 2014-08-06. When does Active Learning Work?. https://arxiv.org/abs/1408.1319

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