ICML Proceedings-only [D]

2026-05-19 · Source: Machine Learning · Field: Science & Research — Research Methodology & Innovation, Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

The ICML proceedings-only paper submission process has generated confusion among authors regarding the necessity of creating and submitting posters and 5-minute talk recordings. Authors are questioning whether these elements are mandatory, particularly given the "proceedings-only" designation and for those presenting in-person. One participant noted that official instructions state uploading a poster is "recommended" rather than required, and a specific deadline for poster submission is not readily apparent, only for topic updates. Another user initially believed poster submission was mandatory for the website but later clarified their understanding that it is optional. The requirement for a 5-minute talk recording for authors presenting their posters in-person also remains unclear.

Key takeaway

For AI Scientists or Research Scientists submitting to ICML with a "proceedings-only" paper, you should carefully review all official conference guidelines, distinguishing between mandatory requirements and mere recommendations. Do not assume "proceedings-only" automatically exempts you from all presentation materials. Confirm specific deadlines for poster uploads and talk recordings, and if unclear, directly contact the program chair for definitive clarification to avoid missing optional but beneficial exposure opportunities.

Key insights

The ICML "proceedings-only" designation creates ambiguity regarding mandatory poster and talk recording submissions for authors.

Principles

• "Proceedings-only" status implies reduced presentation requirements.
• Official "recommendations" can be misinterpreted as mandates.
• Clear communication is crucial for conference submission guidelines.

Topics

• ICML
• Conference Submissions
• Proceedings-Only Papers
• Poster Presentations
• Talk Recordings
• Author Guidelines

Best for: AI Scientist, Research Scientist, AI Student

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Editorial summary, takeaway, and curation by AIssential. Original article published by Machine Learning.