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Tensor Reordering for CNN Compression

We show how parameter redundancy in Convolutional Neural Network (CNN) filters can be effectively reduced by pruning in spectral domain. Specifically, the representation extracted via Discrete Co-sine Transform (DCT) is more conducive for pruning than the original space. By relying on a combination…