Master’s Thesis Presentation: Safety-Oriented Stability Biases for Continual Learning
Ashish Gaurav, Master’s candidate
David R. Cheriton School of Computer Science
Continual learning is often confounded by “catastrophic forgetting” that prevents neural networks from learning tasks sequentially. In the case of real world classification systems that are safety-validated prior to deployment, it is essential to ensure that validated knowledge is retained.