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iclr-topic-selection

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Use when deciding whether a project is a strong ICLR submission, should be reframed for ICLR, or should be routed to NeurIPS, ICML, AAAI, AISTATS, ACL, CVPR, KDD, or another venue. Use when a project lacks a clear representation-learning insight, when an application result needs a learning contribution to fit ICLR, or when weighing ICLR's deep-learning center of gravity against a better-matched venue.

When to use

• deciding if a project is a strong ICLR submission
• reframing a project for ICLR
• routing projects to NeurIPS, ICML, AAAI, AISTATS, ACL, CVPR, or KDD
• evaluating projects lacking a clear representation-learning insight
• weighing ICLR's deep-learning center of gravity against other venues

When not to use

• projects that are no longer movable
• pure application papers with little learning insight
• incremental benchmark bumps without mechanism or analysis
• closed system claims that cannot be inspected or reproduced
• dataset-only papers without a learning-representation advance

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