1. Learning multiple layers of features from tiny images;krizhevsky,2009
2. Gradient-based learning applied to document recognition
3. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods;platt;Advances in Large Margin Classifiers,1999
4. Obtaining well calibrated probabilities using bayesian binning;naeini;AAAI,2015