Reference
Learning with not Enough Data Part 2: Active Learning,
Lil'Log(2022)
Abstract
This is part 2 of what to do when facing a limited amount of labeled data for supervised learning tasks. This time we will get some amount of human labeling work involved, but within a budget limit, and therefore we need to be smart when selecting which samples to label.
