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Found 2 papers, 2 papers with code
A pruning method based on the dissimilarity of angle among channels and filters
Firstly, we train a sparse model by GL penalty, and impose an angle dissimilarity constraint on the channels and filters of convolutional network to obtain a more sparse structure.
Neural Network Panning: Screening the Optimal Sparse Network Before Training
Pruning on neural networks before training not only compresses the original models, but also accelerates the network training phase, which has substantial application value.
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