Review for NeurIPS paper: HRN: A Holistic Approach to One Class Learning

Weaknesses: Some aspects that need to be improved are as follows. It is not precise to state that the methods based on auto-encoders, GANS, self-supervised classification are one-class learning approaches. The objective functions in these methods are very different from the one-class learning objective. I would suggest to rephrase statements similar to this one to avoid misleadings. I believe the authors should provide these results in the supplementary materials and add discussions to help readers fully understand the key difference and the insights of the H-regularization.