Charles Bourbeau

Latent Space Evolution under Incremental Learning with Concept Drift (Student Abstract)

This work investigates the evolution of latent space when deep learning models are trained incrementally in non-stationary environments that stem from concept drift. We propose a methodology for visualizing the incurred change in latent representations. We further show that classes not targeted by c…