GFTab, a semi-supervised tabular method with variable-specific corruptions and geodesic flow kernel similarity, reports the best F1 on about half of 21 mixed-variable benchmarks with sparse labels.
A.; Srivastava, A.; Liu, X.; and Van Dooren, P
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset
GFTab, a semi-supervised tabular method with variable-specific corruptions and geodesic flow kernel similarity, reports the best F1 on about half of 21 mixed-variable benchmarks with sparse labels.