585 citations · 784 across the 30 of their papers we have counts for
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cs.LG2020★ 5 cited
A Framework for Neural Network Pruning Using Gibbs Distributions
Alex Labach, Shahrokh Valaee
Modern deep neural networks are often too large to use in many practical scenarios. Neural network pruning is an important technique for reducing the size of such models and accele…
cs.LG2020★ 59 cited
EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks
Hojjat Salehinejad, Shahrokh Valaee
Dropout is a well-known regularization method by sampling a sub-network from a larger deep neural network and training different sub-networks on different subsets of the data. Insp…