Concept2012
Dropout: Regularization for Neural Networks
Hinton et al.
Randomly dropping units during training to prevent overfitting
Regularization
3 entries / Filter in the index →
Paper2014
Recurrent Neural Network Regularization
Zaremba, Sutskever & Vinyals
How to apply dropout to LSTMs without disrupting memory dynamics
Misc1993
Keeping Neural Networks Simple by Minimizing the Description Length of the Weights
Hinton & van Camp
Hinton's MDL approach to neural network regularization through noisy weights