| Robust-GBDT: GBDT with Nonconvex Loss for Tabular Classification in the Presence of Label Noise and Class Imbalance | Oct 8, 2023 | Binary ClassificationClassification | CodeCode Available | 1 |
| GANDALF: Gated Adaptive Network for Deep Automated Learning of Features | Jul 18, 2022 | feature selectionregression | CodeCode Available | 1 |
| The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling | Jan 1, 2022 | Binary ClassificationDeep Learning | CodeCode Available | 1 |
| Revisiting Deep Learning Models for Tabular Data | Jun 22, 2021 | Deep Learningtabular-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 |
| Generative Imputation and Stochastic Prediction | May 22, 2019 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Learning Interpretable Differentiable Logic Networks for Tabular Regression | May 29, 2025 | Computational Efficiencyregression | —Unverified | 0 |
| Test-Time Training Provably Improves Transformers as In-context Learners | Mar 14, 2025 | In-Context LearningLanguage Modeling | —Unverified | 0 |
| TabNSA: Native Sparse Attention for Efficient Tabular Data Learning | Mar 12, 2025 | Deep Learningfeature selection | —Unverified | 0 |
