| TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second | Jul 5, 2022 | AutoMLBayesian Inference | CodeCode Available | 5 | 5 |
| JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs | Feb 17, 2025 | ImputationIn-Context Learning | CodeCode Available | 2 | 5 |
| TabLLM: Few-shot Classification of Tabular Data with Large Language Models | Oct 19, 2022 | ClassificationDeep Learning | CodeCode Available | 2 | 5 |
| ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data | Jun 25, 2024 | Active Learningtabular-classification | CodeCode Available | 1 | 5 |
| Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? | May 4, 2020 | counterfactualtabular-classification | CodeCode Available | 1 | 5 |
| GANDALF: Gated Adaptive Network for Deep Automated Learning of Features | Jul 18, 2022 | feature selectionregression | CodeCode Available | 1 | 5 |
| Generative Imputation and Stochastic Prediction | May 22, 2019 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| MotherNet: Fast Training and Inference via Hyper-Network Transformers | Dec 14, 2023 | ClassificationIn-Context Learning | CodeCode Available | 1 | 5 |
| Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations | Oct 10, 2024 | FairnessFeature Importance | CodeCode Available | 1 | 5 |
| Pairwise Difference Learning for Classification | Jun 28, 2024 | Binary ClassificationClassification | CodeCode Available | 1 | 5 |
| PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications | Sep 3, 2024 | AutoMLBinary Classification | CodeCode Available | 1 | 5 |
| Revisiting Deep Learning Models for Tabular Data | Jun 22, 2021 | Deep Learningtabular-classification | CodeCode Available | 1 | 5 |
| 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 | 5 |
| TabMixer: advancing tabular data analysis with an enhanced MLP-mixer approach | Feb 21, 2025 | Computational EfficiencyDeep Learning | CodeCode Available | 1 | 5 |
| 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 |
| TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks | Feb 17, 2024 | FairnessIn-Context Learning | CodeCode Available | 1 | 5 |
| Bayesian Concept Bottleneck Models with LLM Priors | Oct 21, 2024 | Image Classificationtabular-classification | CodeCode Available | 0 | 5 |
| MSBoost: Using Model Selection with Multiple Base Estimators for Gradient Boosting | Jun 17, 2024 | ClassificationModel Selection | CodeCode Available | 0 | 5 |
| Transformers with Stochastic Competition for Tabular Data Modelling | Jul 18, 2024 | Deep Learningtabular-classification | CodeCode Available | 0 | 5 |
| Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners | Mar 3, 2025 | AutoMLtabular-classification | CodeCode Available | 0 | 5 |
| Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models | Dec 1, 2021 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| What exactly has TabPFN learned to do? | Feb 13, 2025 | In-Context Learningtabular-classification | CodeCode Available | 0 | 5 |
| SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption | Jun 29, 2021 | Contrastive LearningRepresentation Learning | CodeCode Available | 0 | 5 |
| Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification | Jan 27, 2025 | Kolmogorov-Arnold NetworksRetrieval-augmented Generation | CodeCode Available | 0 | 5 |
