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
Añadido al timeline:
fecha:
10 jul 2018 año
Ahora mismo
~ 5 years and 10 months ago