NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:6641
Title:Classification Accuracy Score for Conditional Generative Models

The paper discusses a classification accuracy score for evaluating 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.