1. Deep learning;LeCun;Nature,2015
2. Learning both weights and connections for efficient neural networks;Han,2015
3. Pruning filters for efficient ConvNets;Li,2017
4. Learning efficient convolutional networks through network slimming;Liu,2017
5. Paying more attention to attention: improving the performance of convolutional neural networks via attention transfer;Komodakis,2017