A distance-based sample weighting scheme, taken from the authors' prior Semi-Cart work, is plugged into a neural network loss and reported to beat a supervised baseline on tabular benchmarks.
Building semi-supervised decision trees with semi-cart algorithm
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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights
A distance-based sample weighting scheme, taken from the authors' prior Semi-Cart work, is plugged into a neural network loss and reported to beat a supervised baseline on tabular benchmarks.