200 citations · 520 across the 13 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
cs.CV2016★ 9 cited
Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs
R. Tapiador, A. Rios-Navarro, A. Linares-Barranco +3
Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from both industry and academia. Special interest is around Convol…
cs.LG2016★ 1 cited
Reducing the Model Order of Deep Neural Networks Using Information Theory
Ming Tu, Visar Berisha, Yu Cao +1
Deep neural networks are typically represented by a much larger number of parameters than shallow models, making them prohibitive for small footprint devices. Recent research shows…