Kellian Cottart

Active Continual Learning with Metaplastic Binary Bayesian Neural Networks

Always-on edge systems must keep learning as conditions change under tight compute budgets and must detect unreliable predictions. Bayesian binary neural networks are attractive in this setting, but mean-field Bernoulli posteriors can saturate on long non-stationary streams, wiping out epistemic unc…