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ICML Rebuttal: No Follow-up Questions?

Read original on Reddit r/MachineLearning
#rebuttal#ml-research

Urgent ICML rebuttal tips when reviewers delay questions – save your paper!

30-Second TL;DR

What Changed

Submission to ICML 2026 got above-average reviews

Why It Matters

Highlights common conference review uncertainties, potentially influencing submission strategies for independent researchers.

What To Do Next

Monitor reviewer portals and prepare generic responses to anticipated methodological questions.

Who should care:Researchers & Academics

Key Points

  • •Submission to ICML 2026 got above-average reviews
  • •3/4 reviewers promised follow-ups but sent none
  • •Less than 48 hours remaining for rebuttal response
  • •Independent project without supervisor guidance

Deep Insight

AI-generated analysis for this event — not the original article.

Enhanced Key Takeaways

  • •ICML 2026 rebuttal guidelines explicitly state that reviewers are not required to post follow-up questions, and authors are expected to address initial review concerns proactively rather than waiting for interactive dialogue.
  • •The ICML rebuttal phase is strictly time-bound to prevent 'rebuttal inflation,' where authors attempt to engage in prolonged back-and-forth discussions that exceed the capacity of volunteer reviewers.
  • •Community consensus on platforms like OpenReview and Reddit suggests that silence from reviewers during the rebuttal period is often interpreted as a lack of major objections, provided the author's rebuttal addresses the initial critiques thoroughly.

Future ImplicationsAI analysis grounded in cited sources

ICML will transition to a fully asynchronous rebuttal process by 2027.
The increasing volume of submissions and the burden on reviewers are driving conferences to minimize interactive rebuttal phases to ensure timely decision-making.

Timeline

2026-01
ICML 2026 submission deadline passed.
2026-03
ICML 2026 initial review scores released to authors.
2026-04
ICML 2026 rebuttal period opened for authors.

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Original source: Reddit r/MachineLearning ↗

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