1. Imagenet classification with deep convolutional neural networks;Krizhevsky,2012
2. Neural network ensembles
3. Training independent subnetworks for robust prediction;Havasi
4. Dropout as a bayesian approximation: Representing model uncertainty in deep learning;Gal
5. Deep residual learning for image recognition;Jian