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TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks

TabPrep is a lightweight feature engineering pipeline that targets structural data patterns to consistently boost tabular model performance across benchmarks.

Andrej Tschalzev, Nick Erickson, Yuyang (Bernie) Wang, Huzefa Rangwala and 3 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5