Reviews: Loss Functions for Multiset Prediction

This paper studies the problem of multiset prediction, where the task in to predict a multiset of labels out of the set of allowed multisets. The proposed method does sequential predictions of labels and is trained to imitate the optimal oracle strategy. The method is evaluated on the two tasks: MultiMNIST and recognition of multiple objects on the COCO dataset. The paper is clearly written, explains the method and some theoretical properties well. The description of the experiments looks good enough.