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  2. Peer Review in Computer Science: good, bad & broken
  3. Artificial intelligence & Machine Learning
  4. 📢 NeurIPS 2025 Submission Deadlines Are Approaching Soon & Review Policy Highlights

📢 NeurIPS 2025 Submission Deadlines Are Approaching Soon & Review Policy Highlights

Scheduled Pinned Locked Moved Artificial intelligence & Machine Learning
neuripsdeadlineneurips 2025submissionreviewreview policyformattingpage limit
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  • C Offline
    C Offline
    cocktailfreedom
    Super Users
    wrote on last edited by
    #5

    We also have a Dataset & Benchmark track paper submitted, got >1k ID already.

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    • JoanneJ Offline
      JoanneJ Offline
      Joanne
      wrote on last edited by
      #6

      Whoa, 12k+ already?! Feels like half the planet is submitting to NeurIPS this year 😅 Curious to see where it ends up by the abstract deadline tomorrow.

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      • R Offline
        R Offline
        RiskLimp
        wrote on last edited by
        #7

        Okay, I submitted yesterday (Saturday), and got a submission number of 17700

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        • JoanneJ Offline
          JoanneJ Offline
          Joanne
          wrote on last edited by
          #8

          What?! It’s at 17,700? Are we headed for a 20k record?

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          • rootR Offline
            rootR Offline
            root
            wrote on last edited by
            #9

            My colleague did the submission today and got a submission ID of 25k + 😵 I mean why conferences do not choose to randomize submission ID?

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            • JoanneJ Offline
              JoanneJ Offline
              Joanne
              wrote on last edited by
              #10

              😵 😵 😵

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              • cqsyfC Offline
                cqsyfC Offline
                cqsyf
                Super Users
                wrote last edited by
                #11

                Finally figured out where the flood of NeurIPS 2025 submissions came from — the legendary "Fibonacci-style" submission strategy is real...

                At first, I thought the spike in NeurIPS reviewer registrations was just everyone jumping in to do some reviewing 🤣. But after going through my bids recently, I noticed several papers that were rejected from ICML showing up again — with exactly the same titles and abstracts. This world really is small…

                For those unfamiliar, “bidding” is the process where reviewers select papers they’re interested in reviewing. If you skip bidding, the system randomly assigns you papers. Since all the major conferences use OpenReview now, this kind of overlap is inevitable. The same matching system that assigned you a paper at ICML is likely to send it your way again at NeurIPS.


                📋 My Review Criteria

                Quick share of how I usually rate papers:

                • If the paper has a clear motivation,
                • the method matches the motivation, and
                • the experiments are solid and effective,
                  then that’s a Weak Accept or better from me.

                ❌ Common tiny little you would not believe how it actually influence the reviewers' emotion

                Whether it’s NeurIPS, ICCV, or AAAI, I’ve noticed some recurring issues in many papers:

                • Quotation marks misuse: Please use proper quotation marks (‘’), not double straight quotes.
                • Missing experimental details: No GPU info, no hyperparameter settings, missing key reproducibility factors.
                • Figure/Table separation: Figures on page 3 referenced only on page 6 — it’s a headache to track them down.
                • Unexplained symbols in figures/tables: Sometimes you flip through multiple pages just to find a symbol definition.
                • Broken or missing references: Tables or figures with [?] as references, or no “Table”/“Figure” prefix before them.

                🛠️ Some rebuttal tips for top conferences

                Here’s a quick rebuttal survival guide based on experience:

                1. Prioritize the most important issues
                  Tackle key concerns first, i.e., novelty, experimental validity, data issues. Addressing these upfront helps the AC and reviewers reassess the paper’s core value quickly.

                2. Respond to the underlying concern
                  Sometimes reviewer comments hint at deeper doubts. Read between the lines to get to the “real” issue and tailor your reply accordingly.

                3. Keep the tone constructive
                  Rebuttals shouldn’t feel combative. Use phrases like “We understand the reviewer’s concern about...” or “We conducted an additional experiment to clarify...” to maintain a dialogue-friendly tone. Even when faced with tough reviews, stay polite and show a willingness to improve.


                🎲 And finally…

                The most universal strategy for top-tier conferences?

                Just get lucky.

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                • JoanneJ Offline
                  JoanneJ Offline
                  Joanne
                  wrote last edited by
                  #12

                  I heard that it was 25k submission last year, and 16k valid submission after rebuttal, and the acceptance was 22%; This year, there are about 25K submitted in main track papers, 6K or so for dataset tracks, plus workshops, and the venue booked this year is for 20k people.

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                  • M Offline
                    M Offline
                    magicparrots
                    wrote last edited by
                    #13

                    I hear during the reviewer bidding process, the organizer made a mistake revealing the entire paper (including appendix) to al reviewers.

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                    • JoanneJ Offline
                      JoanneJ Offline
                      Joanne
                      wrote last edited by
                      #14

                      Hey @magicparrots that sounds like a pretty serious slip if true 😅 I would love to hear more if you have a source or screenshot though.

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