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cs.NE2023
PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration
Richard Petri, Grace Li Zhang, Yiran Chen +2
Deep neural networks (DNNs) have been successfully applied in various fields. A major challenge of deploying DNNs, especially on edge devices, is power consumption, due to the larg…
cs.NE2022
Biologically Plausible Learning on Neuromorphic Hardware Architectures
Christopher Wolters, Brady Taylor, Edward Hanson +3
With an ever-growing number of parameters defining increasingly complex networks, Deep Learning has led to several breakthroughs surpassing human performance. As a result, data mov…