Calibration of Model Uncertainty for Dropout Variational Inference

Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann +1

The model uncertainty obtained by variational Bayesian inference with Monte Carlo dropout is prone to miscalibration. In this paper, different logit scaling methods are extended to…