[D] When to submit to a workshop and how much are top tier conference workshop papers worth?

· Source: Machine Learning · Field: Science & Research — Research Methodology & Innovation, Artificial Intelligence & Machine Learning · Depth: Intermediate, short

Summary

A researcher, after three rejections from main conferences for a paper, submitted it to a CVPR workshop, where it was accepted and will appear in the proceedings. This situation prompted questions regarding the optimal timing for workshop submissions, the commonality of not receiving detailed reviews from workshops, and the impact of a CVPR workshop paper on PhD program applications. Community replies indicate that submitting to workshops after multiple main conference rejections is a common practice, especially when chasing state-of-the-art comparisons becomes unsustainable. While workshop review processes can be inconsistent, a CVPR workshop paper, alongside a COLING 2025 paper, is generally considered a positive contribution for PhD applications, demonstrating research engagement and publication experience.

Key takeaway

For AI Scientists applying to PhD programs, a CVPR workshop paper, particularly when combined with another publication like a COLING paper, significantly strengthens your application. Focus on clearly articulating your contributions and understanding of the work, as admissions committees value demonstrated research capability over strict venue tier. Don't endlessly chase state-of-the-art comparisons for a paper if it delays publication; getting your ideas on record via a workshop can be a strategic move.

Key insights

Workshop submissions are common for papers rejected from main conferences, offering a publication path.

Principles

Method

Consider workshop submission after 2-3 main conference rejections, especially if the research area is rapidly evolving and chasing SOTA becomes impractical.

In practice

Topics

Best for: AI Scientist, AI Student, AI Researcher, Research Scientist

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