← Search

Kyle Reing

2 accepted papers

2020

Improving generalization by controlling label-noise information in neural network weights

ICML 2020poster

In the presence of noisy or incorrect labels, neural networks have the undesirable tendency to memorize information about the noise. Standard regularization techniques such as dropout, weight decay or data augmentation sometimes help, but do not prevent this behavior. If one considers neural network…