Reviews: Classification Accuracy Score for Conditional Generative Models

The final version needs to be significantly revised to account for closely related work such as Shmelkov (2018). The novelty of the proposed metric is questionable and should not be misleading in the text. On the other hand, reviewers were impressed with the empirical evaluation, and felt that the paper would provide new insights to the NeurIPS community.