Ordinal classification tasks are present in a large number of different domains. However, common losses for deep neural networks, such as cross-entropy, do not properly weight the relative ordering between classes. For that reason, many have been proposed literature, which model output probabilities following unimodal distribution. This manuscript reviews these on three datasets and suggests po...