Yaling Ge

Class-Difficulty Aware Hybrid Active Learning

Active learning (AL) aims to select the most valuable samples from an unlabeled dataset for annotation, maximizing model performance under a limited sample budget. Identifying these samples becomes even more challenging in high-dimensional data scenarios. On the other hand, while samples from diffic…