Active Learning with Imperfect Labels: Optimal Labeler Assignment and Sample Selection

Pouya Ahadi, Blair Winograd, Camille Zaug +3

Active Learning (AL) is commonly used in applications where labeling data is expensive or time-consuming. In practice, however, labels are often noisy due to varying labeler expert…