Improving Predictive Uncertainty Estimation using Dropout -- Hamiltonian Monte Carlo

Diego Vergara, Sergio Hernández, Matias Valdenegro-Toro +1

Estimating predictive uncertainty is crucial for many computer vision tasks, from image classification to autonomous driving systems. Hamiltonian Monte Carlo (HMC) is an sampling m…