| Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values | Jun 30, 2022 | Additive modelsBIG-bench Machine Learning | CodeCode Available | 5 | 5 |
| GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints | Apr 19, 2022 | Additive modelsExplainable artificial intelligence | CodeCode Available | 5 | 5 |
| InterpretML: A Unified Framework for Machine Learning Interpretability | Sep 19, 2019 | Additive modelsBIG-bench Machine Learning | CodeCode Available | 3 | 5 |
| GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions | Mar 16, 2020 | Additive models | CodeCode Available | 2 | 5 |
| Data Science with LLMs and Interpretable Models | Feb 22, 2024 | Additive modelsQuestion Answering | CodeCode Available | 2 | 5 |
| Augmenting Interpretable Models with LLMs during Training | Sep 23, 2022 | Additive modelsLanguage Modelling | CodeCode Available | 1 | 5 |
| From Shapley Values to Generalized Additive Models and back | Sep 8, 2022 | Additive models | CodeCode Available | 1 | 5 |
| Fast Interpretable Greedy-Tree Sums | Jan 28, 2022 | Additive modelsDecision Making | CodeCode Available | 1 | 5 |
| How Interpretable and Trustworthy are GAMs? | Jun 11, 2020 | Additive modelsInductive Bias | CodeCode Available | 1 | 5 |
| The Intelligible and Effective Graph Neural Additive Networks | Jun 3, 2024 | Additive models | CodeCode Available | 1 | 5 |
| GAM Changer: Editing Generalized Additive Models with Interactive Visualization | Dec 6, 2021 | Additive modelsInterpretable Machine Learning | CodeCode Available | 1 | 5 |
| Fast Sparse Classification for Generalized Linear and Additive Models | Feb 23, 2022 | Additive modelsClassification | CodeCode Available | 1 | 5 |
| CAT: Interpretable Concept-based Taylor Additive Models | Jun 25, 2024 | Additive models | CodeCode Available | 1 | 5 |
| Additive Covariance Matrix Models: Modelling Regional Electricity Net-Demand in Great Britain | Nov 14, 2022 | Additive modelsenergy trading | CodeCode Available | 1 | 5 |
| High-Dimensional Bayesian Optimization via Tree-Structured Additive Models | Dec 24, 2020 | Additive modelsBayesian Optimization | CodeCode Available | 1 | 5 |
| Neural Additive Models: Interpretable Machine Learning with Neural Nets | Apr 29, 2020 | Additive modelsBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs | Aug 2, 2023 | Additive models | CodeCode Available | 1 | 5 |
| Neural Basis Models for Interpretability | May 27, 2022 | Additive modelsInterpretable Machine Learning | CodeCode Available | 1 | 5 |
| Regionally Additive Models: Explainable-by-design models minimizing feature interactions | Sep 21, 2023 | Additive models | CodeCode Available | 1 | 5 |
| Structural Neural Additive Models: Enhanced Interpretable Machine Learning | Feb 18, 2023 | Additive modelsInterpretable Machine Learning | CodeCode Available | 1 | 5 |
| High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups | Feb 20, 2018 | Additive modelsBayesian Optimization | CodeCode Available | 1 | 5 |
| GAM Coach: Towards Interactive and User-centered Algorithmic Recourse | Feb 27, 2023 | Additive modelscounterfactual | CodeCode Available | 1 | 5 |
| Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines | Oct 14, 2020 | Additive modelsBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| ControlBurn: Nonlinear Feature Selection with Sparse Tree Ensembles | Jul 8, 2022 | Additive modelsfeature selection | CodeCode Available | 1 | 5 |
| Scalable Interpretability via Polynomials | May 27, 2022 | Additive modelsBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalities | Feb 13, 2020 | Additive modelsregression | CodeCode Available | 1 | 5 |
| GeoShapley: A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models | Dec 6, 2023 | Additive models | CodeCode Available | 1 | 5 |
| Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean | Jan 27, 2023 | Additive models | CodeCode Available | 1 | 5 |
| Deletion and Insertion Tests in Regression Models | May 25, 2022 | Additive modelsExplainable Artificial Intelligence (XAI) | CodeCode Available | 1 | 5 |
| How trial-to-trial learning shapes mappings in the mental lexicon: Modelling Lexical Decision with Linear Discriminative Learning | Jul 1, 2022 | Additive modelsIncremental Learning | CodeCode Available | 1 | 5 |
| IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight | Mar 17, 2024 | Additive modelsfeature selection | CodeCode Available | 1 | 5 |
| NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning | Jun 3, 2021 | Additive modelsDeep Learning | CodeCode Available | 1 | 5 |
| A Functional Extension of Semi-Structured Networks | Oct 7, 2024 | Additive models | CodeCode Available | 0 | 5 |
| How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? | Oct 27, 2023 | Additive modelsAttribute | CodeCode Available | 0 | 5 |
| A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room | Jul 29, 2019 | Additive modelsRespiratory Failure | CodeCode Available | 0 | 5 |
| Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networks | Aug 16, 2022 | Additive modelsComputational Efficiency | CodeCode Available | 0 | 5 |
| Additive Approximations in High Dimensional Nonparametric Regression via the SALSA | Jan 31, 2016 | Additive modelsregression | CodeCode Available | 0 | 5 |
| How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data | Jan 3, 2025 | Additive modelsInterpretable Machine Learning | CodeCode Available | 0 | 5 |
| Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers | May 22, 2024 | Additive modelsFeature Importance | CodeCode Available | 0 | 5 |
| Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions | Sep 30, 2022 | Additive modelsDecision Making | CodeCode Available | 0 | 5 |
| Hierarchical transfer learning with applications for electricity load forecasting | Nov 16, 2021 | Additive modelsLoad Forecasting | CodeCode Available | 0 | 5 |
| Grounding learning of modifier dynamics: An application to color naming | Sep 17, 2019 | Additive modelsNatural Language Understanding | CodeCode Available | 0 | 5 |
| Adaptive Shrinkage Estimation For Personalized Deep Kernel Regression In Modeling Brain Trajectories | Apr 10, 2025 | Additive modelsBenchmarking | CodeCode Available | 0 | 5 |
| Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases | Jun 18, 2015 | Additive modelsBayesian Inference | CodeCode Available | 0 | 5 |
| Do Not Trust Additive Explanations | Mar 27, 2019 | Additive modelsBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models | Sep 22, 2024 | Additive modelsInterpretable Machine Learning | CodeCode Available | 0 | 5 |
| Gaussian Process Neural Additive Models | Feb 19, 2024 | Additive modelsExplainable Models | CodeCode Available | 0 | 5 |
| Chained Gaussian Processes | Apr 18, 2016 | Additive modelsGaussian Processes | CodeCode Available | 0 | 5 |
| Flexible, Non-parametric Modeling Using Regularized Neural Networks | Dec 18, 2020 | Additive modelsModel Selection | CodeCode Available | 0 | 5 |
| Additive Gaussian Processes | Dec 19, 2011 | Additive modelsGaussian Processes | CodeCode Available | 0 | 5 |
