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TabFM Beats AutoML on 51 Datasets Without a Single Training Update
A 400M-parameter transformer trained only on synthetic tables predicts classification and regression in one forward pass, topping the TabArena leaderboard without any tuning.
Source
Google Research
Published
Author
AlphaSignal Newsroom
Read
1 min read
A 400M-parameter transformer trained only on synthetic tables predicts classification and regression in one forward pass, topping the TabArena leaderboard without any tuning.
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