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AutoML Conference Submission Strategy Guide
international-conference-on-automated-machine-learning
brycewang-stanford/Awesome-Journal-Skills
280
This resource guides authors on positioning their research for the International Conference on Automated Machine Learning (AutoML). It helps evaluate if a manuscript—especially those involving NAS, HPO, or meta-learning—is a suitable fit for the venue. The focus is on framing contributions that enhance the automated search process, robust methodologies, and system pipelines, rather than solely relying on final leaderboard scores.
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