Yes it might. "Reduction of number of neurons" is not static here, unlike traditional pruning approaches, here they still keep all weights, but the network dynamically selects which sub-portion of them to use. There is a related discussion of this in section 3.2 (page 4), but they don't think they mention actual memory bandwidth requirements/wins of their implementation, and probably there can be different tradeoffs for different devices.