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Giovanni Bellitto

3 accepted papers

2025

DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models

NeurIPS 2025spotlight

Understanding and explaining the behavior of machine learning models is essential for building transparent and trustworthy AI systems. We introduce DEXTER, a data-free framework that employs diffusion models and large language models to generate global, textual explanations of visual classifiers. D…

Cited by 0SourcecodeScholar
2024

Saliency-driven Experience Replay for Continual Learning

NeurIPS 2024spotlight

We present Saliency-driven Experience Replay - SER - a biologically-plausible approach based on replicating human visual saliency to enhance classification models in continual learning settings. Inspired by neurophysiological evidence that the primary visual cortex does not contribute to object mani…

2022

Transfer without Forgetting

ECCV 2022poster

"This work investigates the entanglement between Continual Learning (CL) and Transfer Learning (TL). In particular, we shed light on the widespread application of network pretraining, highlighting that it is itself subject to catastrophic forgetting. Unfortunately, this issue leads to the under-expl…