Tianxiang Yin

Towards Cost-Effective Learning: A Synergy of Semi-Supervised and Active Learning

Active learning (AL) and semi-supervised learning (SSL) both aim to reduce annotation costs: AL selectively annotates high-value samples from the unlabeled data, while SSL leverages abundant unlabeled data to improve model performance. Although these two appear intuitively compatible, directly combi…