A Coulomb's-law-inspired regularizer is proposed for structured pruning, but the claimed repulsion and attraction mechanism is not supported by the paper's gradient derivation.
Complexity-driven model compression for resource- constrained deep learning on edge
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Electrostatic Force Regularization for Neural Structured Pruning
A Coulomb's-law-inspired regularizer is proposed for structured pruning, but the claimed repulsion and attraction mechanism is not supported by the paper's gradient derivation.