25 citations · 42 across the 6 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.LG2025
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…
cs.LG2025
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…