| Learning Interpretable Differentiable Logic Networks for Tabular Regression | May 29, 2025 | Computational Efficiencyregression | —Unverified | 0 |
| Synthetic-Powered Predictive Inference | May 19, 2025 | Conformal Predictionimage-classification | CodeCode Available | 0 |
| Decoding-based Regression | Jan 31, 2025 | Density Estimationregression | CodeCode Available | 3 |
| APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning | Dec 14, 2024 | Data Augmentationtabular-regression | CodeCode Available | 0 |
| Shap-Select: Lightweight Feature Selection Using SHAP Values and Regression | Oct 9, 2024 | Computational Efficiencyfeature selection | CodeCode Available | 1 |
| Constructing Confidence Intervals for 'the' Generalization Error -- a Comprehensive Benchmark Study | Sep 27, 2024 | Benchmarkingtabular-regression | CodeCode Available | 0 |
| Transformers with Stochastic Competition for Tabular Data Modelling | Jul 18, 2024 | Deep Learningtabular-classification | CodeCode Available | 0 |
| MSBoost: Using Model Selection with Multiple Base Estimators for Gradient Boosting | Jun 17, 2024 | ClassificationModel Selection | CodeCode Available | 0 |
| Rényi Neural Processes | May 25, 2024 | Image Inpaintingregression | —Unverified | 0 |
| Probabilistic Calibration by Design for Neural Network Regression | Mar 18, 2024 | Decision Makingregression | CodeCode Available | 1 |