#peer-review

The Reddit debate focused on whether an AI detector was being used as evidence or as an uncalibrated decision-maker.

A March 18 Reddit thread on r/MachineLearning debated whether ICML 2026 went too far by desk-rejecting submissions tied to reviewers who violated Policy A. ICML's official materials confirm the two-policy system, the sanction language, and a watermark-based detection process that was manually reviewed rather than based on generic AI-text detectors.

A 184-point r/MachineLearning thread discussed reported ICML enforcement against no-LLM review violations, with commenters focusing on canary-based detection and coauthor risk.

A reviewer in r/MachineLearning says an ICML paper in a no-LLM track reads as if it was fully generated by AI, opening a blunt discussion about enforcement, review burden, and whether writing quality itself has become a policy signal.

A highly upvoted r/MachineLearning thread debates whether skyrocketing acceptance rates at top venues like CVPR and ICLR are diluting the academic value of conference publication, raising concerns about review quality.

A post on r/MachineLearning has resonated deeply: an independent researcher with limited compute developed a genuinely novel multimodal learning improvement but had their paper rejected from CVPR primarily because they could not afford to run comparisons against large-scale models.

A high-engagement r/MachineLearning thread (score 390, 52 comments) raised concerns that hidden prompt-like PDF text could conflict with ICML’s no-LLM review policy and create process confusion.