•2 min read•from Machine Learning

Resubmitting After NeurIPS? Prioritize Feedback for ICLR

Welp, NeurIPS is a wrap for those of us who got rejected 😭 Off we go to ICLR or whatever the next venue is, hopefully after making some meaningful changes to the paper.

For people who are resubmitting, I’m curious: how much of the NeurIPS reviewer feedback are you actually implementing?

Did you try to address basically everything the reviewers brought up, or are you being selective and only making changes where you think the criticism is valid/useful?

I’m curious about papers that got questioned on novelty or significance. How many of you got comments along those lines, and what exactly were the reviewers questioning?

For example:

  • ā€œThe contribution is incrementalā€
  • ā€œNot sufficiently different from prior workā€
  • ā€œThe empirical gains don’t justify the proposed methodā€
  • ā€œThe problem itself isn’t significant enoughā€
  • ā€œTheoretical contribution is limitedā€
  • ā€œInteresting idea, but unclear what the broader impact/significance isā€

If you’re comfortable sharing, what did the reviewers say, and how are you changing the paper before resubmitting ? Specially since deadline is also pretty close, how are you handling the pressure of this very close deadline ?

Also curious whether anyone is deliberately not implementing certain reviewer suggestions because you think they would take the work in the wrong direction.

Would love to hear how others are approaching the post-NeurIPS revision process.

submitted by /u/Practical-Buddy6323
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