Anton Lee

Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP

Catastrophic forgetting is when a neural network loses previously learnt information after learning a new task sequentially. Avoiding catastrophic forgetting could reduce the resources necessary to update neural networks. Recently, Kolmogorov–Arnold Networks (KAN) gained the community's attention as…