Functional Regularisation for Continual Learning with Gaussian Processes

Michalis K. Titsias, Jonathan Schwarz, Alexander G. de G. Matthews +2

We introduce a framework for Continual Learning (CL) based on Bayesian inference over the function space rather than the parameters of a deep neural network. This method, referred…