1. Predicting parameters in deep learning;Denil,2013
2. Dropout: a simple way to prevent neural networks from overfitting;Srivastava;J. Mach. Learn. Res.,2014
3. Exploiting linear structure within convolutional networks for efficient evaluation;Denton,2014
4. Compression of deep convolutional neural networks for fast and low power mobile applications;Kim,2015
5. Convolutional neural networks with low-rank regularization;Tai,2015