A unified F-statistic screening and weighted evaluation method prunes both unstructured and structured parameters in FNNs and CNNs, claiming order-of-magnitude size reduction with competitive accuracy on vision datasets.
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Exploring Vision Neural Network Pruning via Screening Methodology
A unified F-statistic screening and weighted evaluation method prunes both unstructured and structured parameters in FNNs and CNNs, claiming order-of-magnitude size reduction with competitive accuracy on vision datasets.