John D. Kelleher

Active machine learning using MCMC Bayesian neural networks

Background Standard neural networks require large labelled datasets for strong generalization, which is often costly to annotate. Active learning (AL) reduces annotation costs by selecting the most informative samples for labelling based on model uncertainty, and Bayesian methods are a natural source of such uncertaint...