2024
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution
AAAI 2024technical
Deep Evidential Regression (DER) places a prior on the original Gaussian likelihood and treats learning as an evidence acquisition process to quantify uncertainty. For the validity of the evidence theory, DER requires specialized activation functions to ensure that the prior parameters remain non-ne…