22 citations · 46 across the 5 of their papers we have counts for
Showing 2018Show all
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cs.CV2018★ 11 cited
Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems
Miguel de Prado, Nuria Pazos, Luca Benini
Deep Learning is increasingly being adopted by industry for computer vision applications running on embedded devices. While Convolutional Neural Networks' accuracy has achieved a m…
cs.NE2018★ 13 cited
QUENN: QUantization Engine for low-power Neural Networks
Miguel de Prado, Maurizio Denna, Luca Benini +1
Deep Learning is moving to edge devices, ushering in a new age of distributed Artificial Intelligence (AI). The high demand of computational resources required by deep neural netwo…