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cs.LG2026
Saliency-Guided Replay for Continual Learning in Deep Spiking Neural Networks
Francesco Panetta, Federico Di Valerio, Michela Proietti
Spiking Neural Networks (SNNs) are promising for energy-efficient neuromorphic computing, but they still suffer from catastrophic forgetting when learning tasks sequentially. This…
cs.LG2025
CIP-Net: Continual Interpretable Prototype-based Network
Federico Di Valerio, Michela Proietti, Alessio Ragno +1
Continual learning constrains models to learn new tasks over time without forgetting what they have already learned. A key challenge in this setting is catastrophic forgetting, whe…