๐Ÿค–Freshcollected in 3h

ICML Rebuttal: No Follow-up Questions?

PostLinkedIn
๐Ÿค–Read original on Reddit r/MachineLearning

๐Ÿ’กUrgent ICML rebuttal tips when reviewers delay questions โ€“ save your paper!

โšก 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

๐Ÿง  Deep Insight

AI-generated analysis for this event.

๐Ÿ”‘ Enhanced Key Takeaways

  • โ€ขICML 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.
  • โ€ขThe 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.
  • โ€ขCommunity 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.

๐Ÿ”ฎ 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.

โณ 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.
๐Ÿ“ฐ

Weekly AI Recap

Read this week's curated digest of top AI events โ†’

๐Ÿ‘‰Related Updates

AI-curated news aggregator. All content rights belong to original publishers.
Original source: Reddit r/MachineLearning โ†—