Weakly Supervised Learning: Most Interesting Papers from 2021
Weak supervision is a powerful way to build a ML model from scratch without any initially labeled data. This post is a running survey of recent papers in weakly supervised learning, especially where it intersects with active learning and semi-supervised learning.