Automated Filter Pruning Based on High-Dimensional Bayesian Optimization
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DOI: 10.1109/access.2022.3153025
Abstract: Filter pruning is necessary to efficiently deploy convolutional neural networks on edge devices that have limited computational resources and power budgets. With conventional filter pruning techniques, the same pruning rate is manually specified for different… read more here.
Keywords: filter pruning; bayesian optimization; dimensional bayesian; pruning rate ... See more keywords