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Jack Yi Wei

1 accepted papers

2026

MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data

AAAI 2026technical

Tabular data is the most abundant data type in the world, powering systems in finance, healthcare, e‑commerce, and beyond. As tabular datasets grow and span multiple related targets, there is an increasing need to exploit shared task information for improved multitask generalization. Multitask learn

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