482 citations · 1.4k across the 36 of their papers we have counts for
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cs.NE2018★ 2 cited
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks
Lile Cai, Anne-Maelle Barneche, Arthur Herbout +4
Embedded deep learning platforms have witnessed two simultaneous improvements. First, the accuracy of convolutional neural networks (CNNs) has been significantly improved through t…
cs.NE2018★ 6 cited
Online Deep Learning: Growing RBM on the fly
Savitha Ramasamy, Kanagasabai Rajaraman, Pavitra Krishnaswamy +1
We propose a novel online learning algorithm for Restricted Boltzmann Machines (RBM), namely, the Online Generative Discriminative Restricted Boltzmann Machine (OGD-RBM), that prov…