domains / families / research / international-conference-on-machine-learning

international-conference-on-machine-learning

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Use when targeting International Conference on Machine Learning (ICML) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for AI/ML flagship.

When to use

• targeting International Conference on Machine Learning (ICML)
• deciding whether a computer-science manuscript fits this venue
• conference fit, framing, evidence bar, submission-cycle checks
• rebuttal posture, and desk-reject risks for AI/ML flagship
• manuscript in core machine learning methods needs a conference-fit read
• re-framed from journal style or arXiv style into a selective CS conference narrative
• evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue
• core machine learning methods, theory, applications, and responsible deployment

When not to use

• substitute for the current year's CFP, author kit, ethics policy, or submission portal
• representation-learning framing to ICLR
• broader AI/society/systems mix to NeurIPS
• statistical inference to AISTATS
• ML systems to MLSys
• vision to CVPR/ICCV/ECCV
• NLP to ACL-family
• learning theory to COLT

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