3 papers
cs.LG2026
Normative Loss Landscape Navigation: A Trajectory-Based Approach to Mitigating Forgetting in Incremental Learning
Isabelle Aguilar, Zayn Andre Zainal, Luis Fernando Herbozo Contreras +2
Continual learning models suffer from catastrophic forgetting when trained sequentially on non-stationary data distributions. Previously, this has been addressed through weight reg…
cs.LG2026
Metaplasticity as adaptive gradient preconditioning for incremental learning
Isabelle Aguilar, Zayn Andre Zainal, Omid Kavehei
Biological intelligence naturally prevents catastrophic forgetting through Complementary Learning Systems (CLS) theory, a macroscopic consolidation process driven at the local leve…
cs.LG2025
Stochastic Engrams for Efficient Continual Learning
Isabelle Aguilar, Luis Fernando Herbozo Contreras, Omid Kavehei
The ability to learn continuously in artificial neural networks (ANNs) is often limited by catastrophic forgetting, a phenomenon in which new knowledge becomes dominant. By taking…