| PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications | Sep 3, 2024 | AutoMLBinary Classification | CodeCode Available | 1 |
| TabTransformer: Tabular Data Modeling Using Contextual Embeddings | Dec 11, 2020 | tabular-classificationUnsupervised Pre-training | CodeCode Available | 1 |
| Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? | May 4, 2020 | counterfactualtabular-classification | CodeCode Available | 1 |
| TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks | Feb 17, 2024 | FairnessIn-Context Learning | CodeCode Available | 1 |
| ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data | Jun 25, 2024 | Active Learningtabular-classification | CodeCode Available | 1 |
| Revisiting Deep Learning Models for Tabular Data | Jun 22, 2021 | Deep Learningtabular-classification | CodeCode Available | 1 |
| TabMixer: advancing tabular data analysis with an enhanced MLP-mixer approach | Feb 21, 2025 | Computational EfficiencyDeep Learning | CodeCode Available | 1 |
| Is margin all you need? An extensive empirical study of active learning on tabular data | Oct 7, 2022 | Active LearningAll | —Unverified | 0 |
| Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications | Oct 23, 2023 | FairnessIn-Context Learning | —Unverified | 0 |
| A Suite of Fairness Datasets for Tabular Classification | Jul 31, 2023 | ClassificationFairness | —Unverified | 0 |
