A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation

Wenjing Yang, Ganghua Wang, Jie Ding +1

The goal of model compression is to reduce the size of a large neural network while retaining a comparable performance. As a result, computation and memory costs in resource-limite…