A General Framework for Uncertainty Estimation in Deep Learning

1 code implementation • 16 Jul 2019 • Antonio Loquercio, Mattia Segù, Davide Scaramuzza

Current approaches for uncertainty estimation of neural networks require changes to the network and optimization process, typically ignore prior knowledge about the data, and tend to make over-simplifying assumptions which underestimate uncertainty.

Autonomous Driving Bayesian Inference +1