Meta-Learning Biologically Plausible Semi-Supervised Update Rules
Keren Gu, Sam Greydanus, Luke Metz, Niru Maheswaranathan, Jascha Sohl‐Dickstein
This paper proposes a meta-learning approach to design biologically plausible synaptic update rules for semi-supervised learning, showing effectiveness on classification tasks.
bioRxiv · Dec 30, 2019 · PreprintNeuroscience