

PhD student at Imperial College London, interested in efficient deep learning algorithms on reconfigurable devices.
…y weights within the network in order reduce the size of the model without sacrificing performance. This is the equivalent of searching for the winning tickets in the bag and getting rid of the rest. Very often, pruning techniques end up producing neural network structures that are 90% smaller than…
Using an analogy from the gambling world, the training of machine learning models is often compared to winning the lottery by buying every possible ticket. But if we know how winning the lottery looks like, couldn’t we be smarter about selecting the ticke…