What we learned from NeurIPS 2020 reviewing process

  • NeurIPS submissions continued to grow at a steady annual rate of 40%.
  • Summary rejection did not yield a very high false positive rate, but did not eliminate a lot of submissions either.
  • Inviting authors to review has proven a very effective way to scale up the review process.
  • Very few papers were flagged for ethical concerns. We had a dedicated process to handle such cases, which provided authors with additional feedback from experts in ethics and machine learning.
  • Communication with authors during the discussion phase helped resolve some difficult cases.

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