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cs.NE2021
A Framework For Pruning Deep Neural Networks Using Energy-Based Models
Hojjat Salehinejad, Shahrokh Valaee
A typical deep neural network (DNN) has a large number of trainable parameters. Choosing a network with proper capacity is challenging and generally a larger network with excessive…
cs.NE2021
Pruning of Convolutional Neural Networks Using Ising Energy Model
Hojjat Salehinejad, Shahrokh Valaee
Pruning is one of the major methods to compress deep neural networks. In this paper, we propose an Ising energy model within an optimization framework for pruning convolutional ker…