AI RESEARCH
Cleaning the Pool: Progressive Filtering of Unlabeled Pools in Deep Active Learning
arXiv CS.LG
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ArXi:2511.22344v2 Announce Type: replace Existing active learning (AL) strategies capture fundamentally different notions of data value, e.g., uncertainty or representativeness. Consequently, the effectiveness of strategies can vary substantially across datasets, models, and even AL cycles. Committing to a single strategy risks suboptimal performance, as no single strategy dominates throughout the entire AL process. We