| Algorithm-Agnostic Explainability for Unsupervised Clustering | May 17, 2021 | BIG-bench Machine LearningClustering | CodeCode Available | 0 |
| AFS-BM: Enhancing Model Performance through Adaptive Feature Selection with Binary Masking | Jan 20, 2024 | Feature Importancefeature selection | CodeCode Available | 0 |
| Sequential Attention for Feature Selection | Sep 29, 2022 | Feature Importancefeature selection | CodeCode Available | 0 |
| Dual feature-based and example-based explanation methods | Jan 29, 2024 | Feature Importance | CodeCode Available | 0 |
| Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach | Dec 8, 2020 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 0 |
| A Benchmark for Interpretability Methods in Deep Neural Networks | Jun 28, 2018 | Feature Importanceimage-classification | CodeCode Available | 0 |
| SHAP-based Explanations are Sensitive to Feature Representation | May 13, 2025 | Feature Importance | CodeCode Available | 0 |
| Can local explanation techniques explain linear additive models? | Sep 19, 2023 | Additive modelsExplanation Fidelity Evaluation | CodeCode Available | 0 |
| Evaluating Model Explanations without Ground Truth | May 15, 2025 | Feature Importancemodel | CodeCode Available | 0 |
| Is Gender "In-the-Wild" Inference Really a Solved Problem? | May 12, 2021 | AttributeFeature Importance | CodeCode Available | 0 |
