Search Results for author:
Found 1 papers, 0 papers with code
Compressing neural network by tensor network with exponentially fewer variational parameters
In this work, we propose a general compression scheme that significantly reduces the variational parameters of NN by encoding them to deep automatically-differentiable tensor network (ADTN) that contains exponentially-fewer free parameters.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
