| TabTransformer: Tabular Data Modeling Using Contextual Embeddings | Dec 11, 2020 | tabular-classificationUnsupervised Pre-training | CodeCode Available | 1 | 5 |
| The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling | Jan 1, 2022 | Binary ClassificationDeep Learning | CodeCode Available | 1 | 5 |
| ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data | Jun 25, 2024 | Active Learningtabular-classification | CodeCode Available | 1 | 5 |
| PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications | Sep 3, 2024 | AutoMLBinary Classification | CodeCode Available | 1 | 5 |
| Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations | Oct 10, 2024 | FairnessFeature Importance | CodeCode Available | 1 | 5 |
| Revisiting Deep Learning Models for Tabular Data | Jun 22, 2021 | Deep Learningtabular-classification | CodeCode Available | 1 | 5 |
| TabMixer: advancing tabular data analysis with an enhanced MLP-mixer approach | Feb 21, 2025 | Computational EfficiencyDeep Learning | CodeCode Available | 1 | 5 |
| Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners | Mar 3, 2025 | AutoMLtabular-classification | CodeCode Available | 0 | 5 |
| Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions | Jul 19, 2024 | ClassificationMulti-Label Classification | CodeCode Available | 0 | 5 |
| Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule | Sep 16, 2023 | AutoMLData Augmentation | CodeCode Available | 0 | 5 |
