TabFM: A Zero-Shot Foundation Model for Tabular Data
Tabular machine learning typically relies on per-dataset workflows, fitting tree ensembles or running AutoML searches from scratch for every task. We present TabFM, a 400M-parameter tabular foundation model that formulates supervised tabular prediction as in-context learning. TabFM produces calibrated zero-shot predict...
Wei-Hao Kong, Erez Louidor Ilan, Shu-Xin Nie et al.
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