most citedTowards a fuller understanding of neurons with Clustered Compositional Explanations

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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…

cs.LG2023★ 2 cited

Towards a fuller understanding of neurons with Clustered Compositional Explanations

Biagio La Rosa, Leilani H. Gilpin, Roberto Capobianco

Compositional Explanations is a method for identifying logical formulas of concepts that approximate the neurons' behavior. However, these explanations are linked to the small spec…