Jeevan Thapa

Bayesian Adaptation of Network Depth and Width for Continual Learning

While existing dynamic architecture-based continual learning methods adapt network width by growing new branches, they overlook the critical aspect of network depth. We propose a novel non-parametric Bayesian approach to infer network depth and adapt network width while maintaining model performance…