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A Second-Order Perspective on Pruning at Initialization and Knowledge Transfer
Leonardo Iurada, Beatrice Occhiena, Tatiana Tommasi
The widespread availability of pre-trained vision models has enabled numerous deep learning applications through their transferable representations. However, their computational an…
A Law of Data Reconstruction for Random Features (and Beyond)
Leonardo Iurada, Simone Bombari, Tatiana Tommasi +1
Large-scale deep learning models are known to memorize parts of the training set. In machine learning theory, memorization is often framed as interpolation or label fitting, and cl…
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
Task arithmetic has emerged as a promising approach for editing models by representing task-specific knowledge as composable task vectors. However, existing methods rely on network…