Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference

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

Model uncertainty obtained by variational Bayesian inference with Monte Carlo dropout is prone to miscalibration. The uncertainty does not represent the model error well. In this p…