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May 2, 2026

[r/ML] UAI Rebuttal [D]

A user on the r/MachineLearning subreddit posted their paper review scores for the Conference on Uncertainty in Artificial Intelligence (UAI), both before and after submitting a rebuttal. They are seeking advice from the community on their paper's acceptance chances.

SummaryPrimary source
Impact: 1/10

In 10 seconds

What to know first

  • A user on r/MachineLearning shared their UAI paper review scores, noting a slight improvement after submitting a rebuttal.
  • This post highlights the common experience of researchers navigating the peer review process for AI conferences, including the impact of rebuttals on reviewer scores and the strategic decisions authors face regarding paper submissions.
  • **Pre-rebuttal scores/confidence**: 6/4, 6/4, 4/3, 3/3
  • **Post-rebuttal scores/confidence**: 6/4, 6/4, 5/3, 4/3

Why it matters

This post highlights the common experience of researchers navigating the peer review process for AI conferences, including the impact of rebuttals on reviewer scores and the strategic decisions authors face regarding paper submissions.

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Summary

A user on r/MachineLearning shared their UAI paper review scores, noting a slight improvement after submitting a rebuttal. The scores increased from 4/3 to 5/3 and 3/3 to 4/3 for two reviewers, while two scores remained 6/4.

What happened

A user on the r/MachineLearning subreddit posted their paper review scores for the Conference on Uncertainty in Artificial Intelligence (UAI), both before and after submitting a rebuttal. They are seeking advice from the community on their paper's acceptance chances.

Key details

  • **Pre-rebuttal scores/confidence**: 6/4, 6/4, 4/3, 3/3
  • **Post-rebuttal scores/confidence**: 6/4, 6/4, 5/3, 4/3
  • Two of the four reviewer scores saw a minor increase after the rebuttal (from 4/3 to 5/3, and 3/3 to 4/3).
  • The user is considering whether to pursue acceptance at UAI or prepare for submission to NeurIPS.

What to watch

Community discussions around such posts often provide insights into the subjective nature of academic peer review, common reviewer expectations, and strategies for effective rebuttals. The advice offered could reflect current sentiment on acceptance thresholds for top-tier AI conferences.

Editorial note

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