Stefano Sarao Mannelli
3 papers in the PaperMetrix corpus
Papers by this author
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Probing transfer learning with a model of synthetic correlated datasets
2022 · Machine Learning Science and Technology
Abstract Transfer learning can significantly improve the sample efficiency of neural networks, by exploiting the relatedness between a data-scarce target task and a data-abundant source task. Despite years of successful applications, transfer learning practice often …
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Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation
2022 · arXiv (Cornell University)
Continual learning - learning new tasks in sequence while maintaining performance on old tasks - remains particularly challenging for artificial neural networks. Surprisingly, the amount of forgetting does not increase with the dissimilarity between the …
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RL Perceptron: Generalization Dynamics of Policy Learning in High Dimensions
2025 · Physical Review X
Reinforcement learning (RL) algorithms have transformed many domains of machine learning. To tackle real-world problems, RL often relies on neural networks to learn policies directly from pixels or other high-dimensional sensory input. By contrast, many …