ICML paper checker is down? [D]

· Source: Machine Learning · Field: Technology & Digital — Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

The ICML paper checker website experienced significant downtime and issues generating verification codes just minutes before the camera-ready paper submission deadline. Multiple authors reported being unable to finalize their submissions, with some experiencing site crashes or persistent errors preventing code generation. Users discussed strategies such as submitting papers to OpenReview with placeholder codes and immediately emailing publication chairs to document their situation. While the checker eventually became operational again, allowing some authors to complete their submissions, concerns were raised about the validity of papers submitted with stale codes and the potential for a large number of affected submissions, possibly ranging from 50 to 100 papers. There was also speculation about a possible deadline extension, similar to previous conferences like ICLR.

Key takeaway

For AI scientists submitting camera-ready papers, if you encounter system failures near a deadline, immediately email publication chairs with detailed error reports. Consider submitting a placeholder file on the platform, like OpenReview, to secure your submission slot. This proactive approach documents your attempt and provides evidence of issues, potentially safeguarding your paper's publication status against technical glitches. Always monitor for official updates or deadline extensions.

Key insights

Website outages near deadlines disrupt critical submission processes, necessitating immediate communication and contingency planning.

Principles

Method

When submission systems fail, submit a placeholder on the platform if possible, and immediately email publication chairs with detailed error reports.

In practice

Topics

Best for: Research Scientist, AI Scientist, AI Student

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