| MSBoost: Using Model Selection with Multiple Base Estimators for Gradient Boosting | Jun 17, 2024 | ClassificationModel Selection | CodeCode Available | 0 |
| Tokenize features, enhancing tables: the FT-TABPFN model for tabular classification | Jun 11, 2024 | Classificationtabular-classification | —Unverified | 0 |
| Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications | May 13, 2024 | AutoMLMeta-Learning | —Unverified | 0 |
| Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks | Nov 17, 2023 | feature selectiontabular-classification | —Unverified | 0 |
| The Disagreement Problem in Faithfulness Metrics | Nov 13, 2023 | BenchmarkingExplainable artificial intelligence | —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 |
| Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule | Sep 16, 2023 | AutoMLData Augmentation | CodeCode Available | 0 |
| Pareto Frontiers in Neural Feature Learning: Data, Compute, Width, and Luck | Sep 7, 2023 | tabular-classification | —Unverified | 0 |
| A Suite of Fairness Datasets for Tabular Classification | Jul 31, 2023 | ClassificationFairness | —Unverified | 0 |
| Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization | Jun 15, 2023 | Domain AdaptationDomain Generalization | —Unverified | 0 |
