Which regularization technique prevents overfitting by randomly setting a fraction of input neurons to zero during each training step?

Dropout

Dropout forces a neural network to learn redundant representations and reduces the reliance on specific neurons. It effectively acts as a way of training an ensemble of an exponential number of smaller networks.