Research on Tabular Deep Learning
Project status (as of September 2, 2023):
- The table below is up-to-date.
- News about the
rtdl
package coming soon, stay tuned!- Please note that the code in the "main" branch not released to PyPI is unstable and should not be used
To receive notifications about our new papers, packages and projects on tabular deep learning, subscribe to releases in the GitHub interface ("Watch -> Custom -> Releases").
Feel free to report issues and post questions/feedback/ideas.
Our projects on tabular deep learning:
Name | Year | Link |
---|---|---|
TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning | 2023 | arXiv |
TabDDPM: Modelling Tabular Data with Diffusion Models | 2022 | arXiv |
Revisiting Pretraining Objectives for Tabular Deep Learning | 2022 | arXiv |
On Embeddings for Numerical Features in Tabular Deep Learning | 2022 | arXiv |
Revisiting Deep Learning Models for Tabular Data | 2021 | arXiv |
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data | 2019 | arXiv |