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Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy
We propose a novel method to improve MI computation for CNN pruning, using the spatial aura entropy.
Pruning Convolutional Filters via Reinforcement Learning with Entropy Minimization
Structural pruning has become an integral part of neural network optimization, used to achieve architectural configurations which can be deployed and run more efficiently on embedded devices.
Semiotic Aggregation in Deep Learning
To the extent of our knowledge, this is the first application of computational semiotics in the analysis and interpretation of deep neural networks.
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