EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks

7 Jun 2020 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. Inspired by the dropout concept, we propose EDropout as an energy-based framework for pruning neural networks in classification tasks... (read more)

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