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| Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks | Nov 17, 2023 | feature selectiontabular-classification | —Unverified | 0 | 0 |
| Is margin all you need? An extensive empirical study of active learning on tabular data | Oct 7, 2022 | Active LearningAll | —Unverified | 0 | 0 |
| Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications | May 13, 2024 | AutoMLMeta-Learning | —Unverified | 0 | 0 |
| STAND: Data-Efficient and Self-Aware Precondition Induction for Interactive Task Learning | Sep 11, 2024 | Active LearningHoldout Set | —Unverified | 0 | 0 |
| Learning Interpretable Differentiable Logic Networks for Tabular Regression | May 29, 2025 | Computational Efficiencyregression | —Unverified | 0 | 0 |
| Ensemble Squared: A Meta AutoML System | Dec 10, 2020 | AutoMLBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Metalearning Using Structure-rich Pipeline Representations for Better AutoML | Mar 13, 2021 | AutoMLreinforcement-learning | —Unverified | 0 | 0 |
| TabNSA: Native Sparse Attention for Efficient Tabular Data Learning | Mar 12, 2025 | Deep Learningfeature selection | —Unverified | 0 | 0 |
| Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization | Jun 15, 2023 | Domain AdaptationDomain Generalization | —Unverified | 0 | 0 |
