Author

Gabriele Spadaro

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#machine learning Preprint Sep 2026

From Deep to Shallow: Unconstrained and Efficient Layer Merging Strategy

Although Deep Neural Networks have become foundational in many areas of Machine Learning, high computational demands limit their application in resource-constrained environments. To address this issue, depth compression methods have been proposed to identify and linearize redundant activation functions, thereby allowin...

P. Shul'zhenko, Gabriele Spadaro, Enzo Tartaglione · 0 citations

Jul 2026

TORINO: Token Reduction via Interpretable Concept Overlap in Vision-Language Models

This work introduces TORINO (TOken Reduction via Interpretable coNcept Overlap), a plug-and-play framework for adaptive visual token reduction in VLMs that requires no fine-tuning of the underlying model.

Riccardo Renzulli, Gabriele Spadaro, Shruthi Gowda et al. · arXiv.org · 0 citations