| Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners | Mar 3, 2025 | AutoMLtabular-classification | CodeCode Available | 0 | 5 |
| How good is my story? Towards quantitative metrics for evaluating LLM-generated XAI narratives | Dec 13, 2024 | tabular-classification | CodeCode Available | 0 | 5 |
| Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule | Sep 16, 2023 | AutoMLData Augmentation | CodeCode Available | 0 | 5 |
| Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions | Jul 19, 2024 | ClassificationMulti-Label Classification | 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 |
| What exactly has TabPFN learned to do? | Feb 13, 2025 | In-Context Learningtabular-classification | CodeCode Available | 0 | 5 |
| CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations | Aug 18, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| Bayesian Concept Bottleneck Models with LLM Priors | Oct 21, 2024 | Image Classificationtabular-classification | CodeCode Available | 0 | 5 |
| Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications | May 13, 2024 | AutoMLMeta-Learning | —Unverified | 0 | 0 |
| STAND: Data-Efficient and Self-Aware Precondition Induction for Interactive Task Learning | Sep 11, 2024 | Active LearningHoldout Set | —Unverified | 0 | 0 |