TCL, a CPU-trained contrastive encoder for tabular data, reports higher F1 than FT-Transformer and ResNet on most OOD classification datasets, but the result is not statistically supported.
Dropout as a bayesian approxi- mation: Representing model uncertainty in deep learning,
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Representation Learning on Out of Distribution in Tabular Data
TCL, a CPU-trained contrastive encoder for tabular data, reports higher F1 than FT-Transformer and ResNet on most OOD classification datasets, but the result is not statistically supported.