How to Publish a Research Paper in Artificial Intelligence
A practical guide to publishing research in artificial intelligence
A practical, field-specific guide to publishing research in artificial intelligence, covering norms, challenges, the step-by-step process, where to publish, and how to choose between journal types.
Frequently Asked Questions
Are arXiv preprints acceptable in AI publishing?
Yes. Almost all major AI venues permit and even encourage arXiv preprints, though some require anonymisation during the review window.
Do I need to compare against the latest models to publish?
For methodological work, yes. Reviewers commonly request comparison against models released in the past 6 to 12 months. For applied work, comparison against established baselines is usually sufficient.
Is a journal paper less valuable than a conference paper in AI?
Not always. Journals such as JMLR, TPAMI, and JAIR are highly regarded. However, hiring and tenure decisions in AI weigh top conference papers heavily.
How do I publish AI work without large compute resources?
Focus on contributions that do not require massive scale: efficient methods, small-data learning, evaluation studies, applied domain work, or theoretical analysis.
What is an ethics statement and is it required?
An ethics or broader-impact statement discusses potential societal effects, dual-use, and bias. It is mandatory at NeurIPS, ICML, and most ACL venues, and increasingly expected by journals.