arxiv
PublishedSeptember 21, 2026 at 4:00 AM
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Layerwise Decoupling for Stable Structured Sparsification of Fully Connected Layers
Publisher summary· verbatim
arXiv:2609.21126v1 Announce Type: new 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 weights
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Originally published on arxiv ↗