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Timothy Foldy-Porto

1 paper hereh-index 29 citations2 works total

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  • cs.LG1

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most citedActivation Density driven Energy-Efficient Pruning in Training

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.LG2020★ 3 cited

Activation Density driven Energy-Efficient Pruning in Training

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. Typical pruning methods…

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