25 citations · 42 across the 6 of their papers we have counts for
3 papers · 1 filter
AutoNFS: Automatic Neural Feature Selection
Witold Wydmański, Marek Śmieja
Feature selection (FS) is a fundamental challenge in machine learning, particularly for high-dimensional tabular data, where interpretability and computational efficiency are criti…
VisTabNet: Adapting Vision Transformers for Tabular Data
Witold Wydmański, Ulvi Movsum-zada, Jacek Tabor +1
Although deep learning models have had great success in natural language processing and computer vision, we do not observe comparable improvements in the case of tabular data, whic…
HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets
Witold Wydmański, Oleksii Bulenok, Marek Śmieja
Deep learning has achieved impressive performance in many domains, such as computer vision and natural language processing, but its advantage over classical shallow methods on tabu…