Search Results for author:
Found 2 papers, 1 papers with code
A Unified Bayesian Framework for Discriminative and Generative Continual Learning
Two notable directions among the recent advances in continual learning with neural networks are (1) variational Bayes based regularization by learning priors from previous tasks, and, (2) learning the structure of deep networks to adapt to new tasks.
Bayesian Structure Adaptation for Continual Learning
Two notable directions among the recent advances in continual learning with neural networks are ($i$) variational Bayes based regularization by learning priors from previous tasks, and, ($ii$) learning the structure of deep networks to adapt to new tasks.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
