52 citations · 88 across the 12 of their papers we have counts for
Showing 2019Show all
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cs.LG2019★ 52 cited
Neural Network Distiller: A Python Package For DNN Compression Research
Neta Zmora, Guy Jacob, Lev Zlotnik +2
This paper presents the philosophy, design and feature-set of Neural Network Distiller, an open-source Python package for DNN compression research. Distiller is a library of DNN co…
stat.ML2019★ 8 cited
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov +1
Modeling uncertainty in deep neural networks, despite recent important advances, is still an open problem. Bayesian neural networks are a powerful solution, where the prior over ne…