Improving Predictive Uncertainty Estimation using Dropout -- Hamiltonian Monte Carlo

no code implementations • 12 May 2018 • Diego Vergara, Sergio Hernández, Matias Valdenegro-Toro, Felipe Jorquera

Estimating predictive uncertainty is crucial for many computer vision tasks, from image classification to autonomous driving systems.

Autonomous Driving Bayesian Inference +2