Our paper on reducing the number of supervised synaptic updates in computational models of vision was accepted to ICLR as a Spotlight! https://openreview.net/forum?id=g1SzIRLQXMM
The paper improved quite a bit since the preprint I think, we especially made a stronger connection to Machine Learning by showing that our proposed techniques outperform other approaches to drastically reduce the number of parameters. We retain over 40% ImageNet top-1 performance with only ~3% of parameters relative to a fully-trained network.