Understanding Uncertainty Sampling via Equivalent Loss
arXiv:2307.02719v4 Announce Type: replace-cross
Abstract: Uncertainty sampling is a prevalent active learning algorithm that queries sequentially the annotations of data samples which the current prediction model is uncertain about. However, the usage…