Training
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
University of Toronto·June 15, 2014
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky
TL;DR
Introduces dropout, randomly disabling units during training to reduce overfitting.
Why it matters
A simple, ubiquitous regularizer that became standard practice across deep learning.