Unit-Centric Regularization for Efficient Deep Neural Networks
Deep neural networks excel by learning hierarchical representations, often requiring architectural enhancements like increased width, normalization layers, or skip connections, each adding complexity and computational cost. This paper proposes Jumpstart, a novel regularization technique that enables...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11087585/ |
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