most citedCompressing Neural Networks Using Tensor Networks with Exponentially Fewer Variational Parameters

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 5 cited

Compressing Neural Networks Using Tensor Networks with Exponentially Fewer Variational Parameters

Yong Qing, Ke Li, Peng-Fei Zhou +1

Neural network (NN) designed for challenging machine learning tasks is in general a highly nonlinear mapping that contains massive variational parameters. High complexity of NN, if…