Stop Marginalizing My Dreams: Model Inversion via Laplace Kernel for Continual Learning
arXiv:2605.11804v1 Announce Type: cross
Abstract: Data-free continual learning (DFCIL) relies on model inversion to synthesize pseudo-samples and mitigate catastrophic forgetting. However, existing inversion methods are fundamentally limited by a simp…