BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
BRUNO: A Deep Recurrent Model for Exchangeable Data
Real Time Image Saliency for Black Box Classifiers
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models