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Mesoscopic learning dynamics of extensive-width neural networks

A paper that studies the learning dynamics of wide neural networks, proposes a mesoscopic description, and reveals the mechanism of feature specialization and the phenomenon of acceleration by quadratic screening.

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Oct 19

The paper 'Mesoscopic learning dynamics of extensive-width neural networks' studies a two-layer neural network learning a target function represented by a network of the same architecture, where the network width and input dimension grow proportionally.

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