Uncertainty in the Variational Information Bottleneck
Abstract
Without explictly being designed to do so, VIB (Alemi et al., 2017) gives two natural metrics for handling and quantifying uncertainty in neural networks. In this work we present a simple case study, demonstrating that VIB can improve a networks classification calibration as well as its ability to detect out of sample data.
Research Areas
