KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks
arXiv:2605.12306v1 Announce Type: cross
Abstract: Catastrophic forgetting remains the central obstacle in continual learning (CL): parameters shared across tasks interfere with one another, and existing regularization methods such as EWC and SI apply …