Gil Einziger

Semantic Geometric Calibration in Randomized Neural Feature Space

This work presents Random Geometric Calibration (RGC), a post hoc method that augments confidence estimation with a geometric signal derived from distances to training data in an aggregated semantic representation space that achieves state-of-the-art or near state-of-the-art calibration performance.