1. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
2. Pruning filters for efficient ConvNets;li;arXiv 1608 08710,2016
3. Learning both weights and connections for efficient neural network;han;Proc Adv Neural Inf Process Syst,2015
4. Learning structured sparsity in deep neural networks;wen;Proc Adv Neural Inf Process Syst,2016
5. Distilling the knowledge in a neural network;hinton;ArXiv 1503 02531,2015