52 citations · 113 across the 10 of their papers we have counts for
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cs.LG2019
TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks
Luca Mocerino, Andrea Calimera
Binarization is an attractive strategy for implementing lightweight Deep Convolutional Neural Networks (CNNs). Despite the unquestionable savings offered, memory footprint above al…
cs.LG2019
EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets
Matteo Grimaldi, Valentino Peluso, Andrea Calimera
The implementation of Deep Convolutional Neural Networks (ConvNets) on tiny end-nodes with limited non-volatile memory space calls for smart compression strategies capable of shrin…
cs.CV2019★ 7 cited
CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs
Luca Mocerino, Andrea Calimera
Fixed-point quantization and binarization are two reduction methods adopted to deploy Convolutional Neural Networks (CNN) on end-nodes powered by low-power micro-controller units (…