DynaTab dynamically reorders features in tabular data via neural rewiring and reports statistically significant gains over 45 baselines on 36 high-dimensional datasets.
On Embeddings for Numerical Features in Tabular Deep Learning.Advances in Neural Information Processing Systems, 35:24991–25004
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
DynaTab: Dynamic Feature Ordering as Neural Rewiring for High-Dimensional Tabular Data
DynaTab dynamically reorders features in tabular data via neural rewiring and reports statistically significant gains over 45 baselines on 36 high-dimensional datasets.