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Entropy Induced Pruning Framework for Convolutional Neural Networks
By leveraging the proposed AFIE, the proposed framework is able to yield a stable importance evaluation of each filter no matter whether the original model is trained fully.
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification
Therefore, we propose a sensitiveness based method to evaluate the importance of each layer from the perspective of inference accuracy by adding extra damage for the original model.
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