Density-Informed Pseudo-Counts for Calibrated Evidential Deep Learning

Pietro Carlotti, Nevena Gligić, Arya Farahi

Evidential Deep Learning (EDL) is a popular framework for uncertainty-aware classification that models predictive uncertainty via Dirichlet distributions parameterized by neural ne…