ICML 2026 am I cooked? [D]

Reddit r/MachineLearning / 4/9/2026

💬 OpinionSignals & Early TrendsIdeas & Deep Analysis

Key Points

  • The post is a personal inquiry about expected acceptance chances for an ICML 2026 paper after a reviewer score improved from 4333 to 4433 during the rebuttal/review period.
  • Two remaining weak-reject feedback items were addressed partially (adding a parameter sweep and a short new section), but the author remains uncertain about whether the changes fully satisfy reviewers.
  • The author’s aim includes securing conference funding, making the acceptance probability particularly important to them.
  • The discussion context suggests deep learning theory and highlights the author’s unfamiliarity with the conference paper application/review process compared with theoretical physics norms.

Hi, I am currently making the jump to ML from theoretical physics. I just got done with the review period, went from 4333 to 4433, but the remaining two weak rejects said 1) that if I add a parameter sweep and a small section (which I did) they’d raise, and the other reviewer said that if some of their questions were addressed properly they’d also raise the score. I think the most likely outcome is hopefully 4443, but with maybe a 30-40% chance of 4444. The area is deep learning theory. I have never been through the process of applying for conference papers as this is not as common in physics, what chances would you say I have of getting the paper accepted? I’m trying to secure funding for the conference and this information would be very helpful!

submitted by /u/EyeTop928
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