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Layerwise Decoupling for Stable Structured Sparsification of Fully Connected Layers

arXiv:2609.21126v1 Announce Type: cross Abstract: We propose a decoupled, layerwise method for structurally sparsifying the fully connected layers of pretrained neural networks. Rather than penalizing all layers jointly, our approach extracts shallow two-layer subnetworks, normalizes the inner weig…

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  1. 2026-09-21 04:00 · arXiv stat.ML
    Layerwise Decoupling for Stable Structured Sparsification of Fully Connected Layers

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