Mechanisms of width scaling in normalized residual networks: the effective alignment dimension
Read the original at arxiv.org→arXiv:2607.24887v1 Announce Type: new Abstract: Existing theories of neural-network width characterize asymptotic limits, but provide limited guidance on whether an expansion direction identified from finite...
Original headline: "Mechanisms of Width Scaling in Normalized Residual Networks: The Effective Alignment Dimension"
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- Jul 29, 04:00 UTC arXiv cs.LG lead source Mechanisms of Width Scaling in Normalized Residual Networks: The Effective Alignment Dimension