2026
TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation
ICLR 2026poster
Active learning improves training efficiency by selectively querying the most informative samples for labeling. While it naturally fits classification tasks–where informative samples tend to lie near the decision boundary–its application to regression is less straightforward, as information is distr…