Hyperflux: Pruning Reveals Importance
Researchers have introduced Hyperflux, a novel method for network pruning that models the process as a continuously evolving system. This approach uses 'flux,' the gradient response to a weight's removal, and 'pressure,' a global regularization, to drive weights toward pruning. Hyperflux aims to provide a more understandable pruning process at both microscopic and macroscopic levels, achieving competitive results on standard datasets and network architectures. AI
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