12 citations · 45 across the 12 of their papers we have counts for
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cs.LG2020★ 1 cited
Training Deep Neural Networks with Constrained Learning Parameters
Prasanna Date, Christopher D. Carothers, John E. Mitchell +2
Today's deep learning models are primarily trained on CPUs and GPUs. Although these models tend to have low error, they consume high power and utilize large amount of memory owing…
cs.AI2020★ 1 cited
Explainable Deep RDFS Reasoner
Bassem Makni, Ibrahim Abdelaziz, James Hendler
Recent research efforts aiming to bridge the Neural-Symbolic gap for RDFS reasoning proved empirically that deep learning techniques can be used to learn RDFS inference rules. Howe…