PyTabKit 1.1 is out! - Includes TabM and provides a scikit-learn interface - some baseline NN parameter names are renamed (removed double-underscores) - other small changes, see the readme. github.com/dholzmueller...

🚀 The 60 Accepted Papers and (tentative) Program for the 3rd Table Representation Learning workshop @NeurIPS '24 are out at: table-representation-learning.github.io! Also, reply or DM @madelonhulsebos.bsky.social if you/others should be added to the TRL researcher starterpack: go.bsky.app/4SNSMRj!

Can deep learning finally compete with boosted trees on tabular data? 🌲 In our NeurIPS 2024 paper, we introduce RealMLP, a NN with improvements in all areas and meta-learned default parameters. Some insights about RealMLP and other models on large benchmarks (>200 datasets): 🧵