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| SRSD: Rethinking Datasets of Symbolic Regression for Scientific Discovery | Dec 2, 2022 | regressionscientific discovery | CodeCode Available | 1 | 5 |
| Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees | May 23, 2022 | regressiontabular-regression | CodeCode Available | 1 | 5 |
| A Framework and Benchmark for Deep Batch Active Learning for Regression | Mar 17, 2022 | Active Learningregression | CodeCode Available | 1 | 5 |
| Probabilistic Calibration by Design for Neural Network Regression | Mar 18, 2024 | Decision Makingregression | CodeCode Available | 1 | 5 |
| Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery | Jun 21, 2022 | regressionscientific discovery | CodeCode Available | 1 | 5 |
| Revisiting Deep Learning Models for Tabular Data | Jun 22, 2021 | Deep Learningtabular-classification | CodeCode Available | 1 | 5 |
| Shap-Select: Lightweight Feature Selection Using SHAP Values and Regression | Oct 9, 2024 | Computational Efficiencyfeature selection | CodeCode Available | 1 | 5 |
| Transformers with Stochastic Competition for Tabular Data Modelling | Jul 18, 2024 | Deep Learningtabular-classification | CodeCode Available | 0 | 5 |
| Synthetic-Powered Predictive Inference | May 19, 2025 | Conformal Predictionimage-classification | CodeCode Available | 0 | 5 |
| Constructing Confidence Intervals for 'the' Generalization Error -- a Comprehensive Benchmark Study | Sep 27, 2024 | Benchmarkingtabular-regression | CodeCode Available | 0 | 5 |
| Improving Neural Additive Models with Bayesian Principles | May 26, 2023 | Additive modelsBayesian Inference | CodeCode Available | 0 | 5 |
| 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 | 5 |
| MSBoost: Using Model Selection with Multiple Base Estimators for Gradient Boosting | Jun 17, 2024 | ClassificationModel Selection | CodeCode Available | 0 | 5 |
| Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression | Dec 4, 2023 | Out-of-Distribution Generalizationregression | —Unverified | 0 | 0 |
| Learning Interpretable Differentiable Logic Networks for Tabular Regression | May 29, 2025 | Computational Efficiencyregression | —Unverified | 0 | 0 |
| ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing | Mar 6, 2024 | regressiontabular-regression | —Unverified | 0 | 0 |
| Rényi Neural Processes | May 25, 2024 | Image Inpaintingregression | —Unverified | 0 | 0 |
| Variational Boosted Soft Trees | Feb 21, 2023 | Decision MakingOut-of-Distribution Detection | —Unverified | 0 | 0 |
