Jonghwan Mun

Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization

2017 · arXiv (Cornell University)

Overfitting is one of the most critical challenges in deep neural networks, and there are various types of regularization methods to improve generalization performance. Injecting noises to hidden units during training, e.g., dropout, is known …