First-time ICML workshop acceptance (GlobalSouthML) but can't afford to travel to South Korea. What are my options? [D]

· Source: Machine Learning · Field: Technology & Digital — Artificial Intelligence & Machine Learning · Depth: Novice, medium

Summary

An undergraduate student from India, with two papers accepted at the ICML 2026 GlobalSouthML workshop, is seeking advice on navigating the post-acceptance process due to an inability to afford travel to Seoul, South Korea. The student inquired about virtual presentation options, financial aid availability for workshop participants, and the procedure for submitting final paper versions for a non-archival workshop. Responses indicate that ICML's main conference virtual pass does not apply to workshops, and financial aid is highly unlikely for workshop papers, typically prioritizing main conference acceptances. However, some suggest checking with workshop organizers directly for specific policies on virtual attendance and potential, albeit limited, funding. Submitting the final version usually involves uploading an updated PDF to OpenReview, incorporating reviewer feedback, as workshop papers are generally non-archival.

Key takeaway

For AI Students and Research Scientists with workshop acceptances, immediately contact workshop organizers to clarify virtual presentation options and any specific financial aid. Do not rely on main conference policies or general ICML financial aid, as these rarely cover workshop travel. Also, investigate your institution's internal travel grants, which may offer a better chance for funding than conference-specific aid.

Key insights

Workshop acceptance at major conferences often lacks travel funding and may require in-person attendance.

Principles

Method

To confirm virtual presentation or funding for a workshop paper, directly contact the workshop organizers. For final submission, upload an updated PDF to OpenReview, incorporating reviewer feedback.

In practice

Topics

Best for: AI Student, Research Scientist

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