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Siddharth Chilamkur

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Preprint Aug 2026

Diversity-Based Active Learning: An Evaluation of Metric Spaces for Active Learning Selection

Evaluating the performance of Greedy K-center across a variety of metric spaces shows that mapping unlabeled instances into a predictive probability space and weighting the result by entropy often dominates the other options for active learning selection with Greedy K-center.

Siddharth Chilamkur, D. Hochbaum · 0 citations