50 citations · 111 across the 18 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
cs.NE2016★ 7 cited
Understanding the Impact of Precision Quantization on the Accuracy and Energy of Neural Networks
Soheil Hashemi, Nicholas Anthony, Hokchhay Tann +2
Deep neural networks are gaining in popularity as they are used to generate state-of-the-art results for a variety of computer vision and machine learning applications. At the same…
cs.NE2016★ 50 cited
Runtime Configurable Deep Neural Networks for Energy-Accuracy Trade-off
Hokchhay Tann, Soheil Hashemi, R. Iris Bahar +1
We present a novel dynamic configuration technique for deep neural networks that permits step-wise energy-accuracy trade-offs during runtime. Our configuration technique adjusts th…