NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:5200
Title:Compositional generalization through meta sequence-to-sequence learning

The reviewers agree that this paper is sound and of potential interest to some audiences. They disagree about whether the proposed solution (meta learning based on a large augmented data set) makes the result boring or interesting. Given that the results appear sound and are likely to yield interesting discussions at the conference, as they have among the reviewers, I recommend including it. I hope the authors revise the framing and discussion after taking into account the reviewers' comments, especially R1.