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| Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications | May 13, 2024 | AutoMLMeta-Learning | —Unverified | 0 |
| TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks | Feb 17, 2024 | FairnessIn-Context Learning | CodeCode Available | 1 |
| MotherNet: Fast Training and Inference via Hyper-Network Transformers | Dec 14, 2023 | ClassificationIn-Context Learning | CodeCode Available | 1 |
| 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 |
| 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 |
| 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 |
