Machine Learning, Neural Nets, Logistic Loss, Google Ai, Training.
large-margin outliers and also introduces heavy-tailed ness to handle small-margin mislabeled data. The researchers compared the bi-tempered loss function against the logistic and demonstrate its practical use on a wide variety of image classification tasks. They have used the MNIST dataset for