Introduction

Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices

paper

Replace some 1x1 convolution with Sparse Random Ternary Matrices

Based on observation that

force some weight to random sparse matrices:

Good summary on related work