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cs.LG2022
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data
Andrei Margeloiu, Nikola Simidjievski, Pietro Lio +1
Tabular biomedical data is often high-dimensional but with a very small number of samples. Although recent work showed that well-regularised simple neural networks could outperform…
cs.LG2022
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data
Andrei Margeloiu, Nikola Simidjievski, Pietro Lio +1
Neural networks often struggle with high-dimensional but small sample-size tabular datasets. One reason is that current weight initialisation methods assume independence between we…