Preprint
Aug 2026
Lightweight Adaptive ReduNet via Hyperspherical Manifold Learning
LA-ReduNet is proposed, a lightweight adaptive architecture that refines the layer-wise update rule and enables discriminative feature representations to be obtained with substantially fewer unfolded layers, thereby reducing by an order of magnitude the number of layers required for the MCR$^2 objective to reach a stab...
Zhenglin Huang, Qi-Fa Yan, Bin Dai et al.
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