Reducing Overfitting in Deep Networks by Decorrelating Representations

Michael Cogswell, Faruk Ahmed, Ross Girshick +2

One major challenge in training Deep Neural Networks is preventing overfitting. Many techniques such as data augmentation and novel regularizers such as Dropout have been proposed…