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Early learning in large residual networks

arXiv:2610.31783v1 Announce Type: new Abstract: We study the early training dynamics of nonlinear residual networks with blocks of zero hidden layers as a model of more general residual networks. We analyze networks in a sequential limit where first width and depth diverge, then the number of train…

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  1. 2026-10-26 04:00 · arXiv stat.ML
    Early learning in large residual networks

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