Search Results for author: Timothy Foldy-Porto

Found 1 papers, 0 papers with code

Activation Density driven Energy-Efficient Pruning in Training

no code implementations7 Feb 2020 Timothy Foldy-Porto, Yeshwanth Venkatesha, Priyadarshini Panda

Neural network pruning with suitable retraining can yield networks with considerably fewer parameters than the original with comparable degrees of accuracy.

Network Pruning

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