On Calibrated Model Uncertainty in Deep Learning

Biraja Ghoshal, Allan Tucker

Estimated uncertainty by approximate posteriors in Bayesian neural networks are prone to miscalibration, which leads to overconfident predictions in critical tasks that have a clea…