10 jul 2018 año - Wide Compression: Tensor Ring Nets (CVPR 2018)

Descripción:

Three-component decomposition

Tensor Ring Nets (TRN), in
which layers of a deep neural network are compressed using tensor ring factorization.

结果：
TR-Nets approach is able to compress LeNet-5 by 11× without losing accuracy, and can compress the state-of-the-art Wide ResNet by 243× with only 2.3% degradation in Cifar10 image classification

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