Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline work to a single API call.
FiGS, is a probabilistic approach to channel regularization that we introduced in Fine-Grained Stochastic Architecture Search. It outperforms our previous regularizers and can be used as either a ...
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