Christopher Subia-Waud

Weight Fixing Networks

"Modern iterations of deep learning models contain millions (billions) of unique parameters--each represented by a $b$-bit number. Popular attempts at compressing neural networks (such as pruning and quantisation) have shown that many of the parameters are superfluous, which we can remove (pruning)…