Improving predictive uncertainty estimation using Dropout–Hamiltonian Monte Carlo

Gradient-based learning applied to document recognition

Yann LeCun, Léon Bottou, Yoshua Bengio et al. · Proceedings of the IEEE · 1998 · 56.5K citations · Full text

Engineering, Machine Learning, Multilayer Neural Networks +17

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.2K citations

Advances in Neural Information Processing Systems 28

Peter Flach, Meelis Kull · 2015 · 14.6K citations

Intelligent Information Processing, Computational Neuroscience, Computer Science +2

<i>Stan</i>: A Probabilistic Programming Language

Bob Carpenter, Andrew Gelman, Matthew D. Hoffman et al. · Journal of Statistical Software · 2017 · 7.1K citations · Full text

Deep Face Recognition

Omkar Parkhi, Andrea Vedaldi, Andrew Zisserman · 2015 · 5K citations

Face Detection, Convolutional Neural Network, Facial Recognition System +14