Constrained Optimization Based Low-Rank Approximation of Deep Neural Networks

ECCV 2018 Chong LiC. J. Richard Shi

We present COBLA---Constrained Optimization Based Low-rank Approximation---a systematic method of finding an optimal low-rank approximation of a trained convolutional neural network, subject to constraints in the number of multiply-accumulate (MAC) operations and the memory footprint. COBLA optimally allocates the constrained computation resource into each layer of the approximated network... (read more)

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