Bayesian Volumetric Autoregressive generative models for better semisupervised learning

1 code implementation • 26 Jul 2019 • Guilherme Pombo, Robert Gray, Tom Varsavsky, John Ashburner, Parashkev Nachev

Second, we show that reformulating this model to approximate a deep Gaussian process yields a measure of uncertainty that improves the performance of semi-supervised learning, in particular classification performance in settings where the proportion of labelled data is low.

General Classification Semantic Segmentation