| TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second | Jul 5, 2022 | AutoMLBayesian Inference | CodeCode Available | 5 |
| JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs | Feb 17, 2025 | ImputationIn-Context Learning | CodeCode Available | 2 |
| TabLLM: Few-shot Classification of Tabular Data with Large Language Models | Oct 19, 2022 | ClassificationDeep Learning | CodeCode Available | 2 |
| ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data | Jun 25, 2024 | Active Learningtabular-classification | CodeCode Available | 1 |
| Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? | May 4, 2020 | counterfactualtabular-classification | CodeCode Available | 1 |
| GANDALF: Gated Adaptive Network for Deep Automated Learning of Features | Jul 18, 2022 | feature selectionregression | CodeCode Available | 1 |
| Generative Imputation and Stochastic Prediction | May 22, 2019 | ClassificationGeneral Classification | CodeCode Available | 1 |
| MotherNet: Fast Training and Inference via Hyper-Network Transformers | Dec 14, 2023 | ClassificationIn-Context Learning | CodeCode Available | 1 |
| Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations | Oct 10, 2024 | FairnessFeature Importance | CodeCode Available | 1 |
| Pairwise Difference Learning for Classification | Jun 28, 2024 | Binary ClassificationClassification | CodeCode Available | 1 |
| PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications | Sep 3, 2024 | AutoMLBinary Classification | CodeCode Available | 1 |
| Revisiting Deep Learning Models for Tabular Data | Jun 22, 2021 | Deep Learningtabular-classification | CodeCode Available | 1 |
| 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 |
| TabMixer: advancing tabular data analysis with an enhanced MLP-mixer approach | Feb 21, 2025 | Computational EfficiencyDeep Learning | CodeCode Available | 1 |
| TabTransformer: Tabular Data Modeling Using Contextual Embeddings | Dec 11, 2020 | tabular-classificationUnsupervised Pre-training | CodeCode Available | 1 |
| The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling | Jan 1, 2022 | Binary ClassificationDeep Learning | CodeCode Available | 1 |
| TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks | Feb 17, 2024 | FairnessIn-Context Learning | CodeCode Available | 1 |
| Ensemble Squared: A Meta AutoML System | Dec 10, 2020 | AutoMLBIG-bench Machine Learning | —Unverified | 0 |
| Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization | Jun 15, 2023 | Domain AdaptationDomain Generalization | —Unverified | 0 |
| Fieldwise Factorized Networks for Tabular Data Classification | Sep 29, 2021 | Classificationtabular-classification | —Unverified | 0 |
| A Suite of Fairness Datasets for Tabular Classification | Jul 31, 2023 | ClassificationFairness | —Unverified | 0 |
| Tokenize features, enhancing tables: the FT-TABPFN model for tabular classification | Jun 11, 2024 | Classificationtabular-classification | —Unverified | 0 |
| Metalearning Using Structure-rich Pipeline Representations for Better AutoML | Mar 13, 2021 | AutoMLreinforcement-learning | —Unverified | 0 |
| PTab: Using the Pre-trained Language Model for Modeling Tabular Data | Sep 15, 2022 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Quantifying Prediction Consistency Under Fine-Tuning Multiplicity in Tabular LLMs | Jul 4, 2024 | Decision Makingtabular-classification | —Unverified | 0 |
