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Generalization in Neural Networks Through the Lens of Magnitude Potential

Torkamani, Sahel et al.
arXiv (All) · Papers
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machine-learning
Explaining generalization and training dynamics in neural networks remains a challenge, and various approaches have been developed to study different aspects of these phenomena. In this paper, we introduce the idea of {\em magnitude potential} -- a quantity based on the theory of metric magnitude --
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