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Open access 2026

Hierarchy-Aligned Learning Rates for Vision Networks

Asynchronous Learning Rate is proposed, which assigns depth-dependent initial learning rates to network modules according to their topological depth, and Smoothed Synchronous Decay is proposed, which coordinates the subsequent decay of heterogeneous parameter groups.

Qiang He, Qiu Zong, Yi-Qi Wang et al. · 0 citations

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