Guided Regularizers for Structured Reduction of Neural Networks
Traditional regularization techniques based on [Formula: see text] and [Formula: see text] norms of the weight vectors are widely used for sparsifying neural networks. However, the resulting sparsity patterns are scattered, as weights are pruned based solely on their magnitude, but without considera...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Taylor & Francis Group
2025-12-01
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| Schriftenreihe: | Data Science in Science |
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| Online-Zugang: | https://www.tandfonline.com/doi/10.1080/26941899.2025.2524558 |
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