| Ranking Feature-Block Importance in Artificial Multiblock Neural Networks | Sep 21, 2021 | Feature Importance | CodeCode Available | 0 |
| Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification | Sep 15, 2021 | Feature EngineeringFeature Importance | —Unverified | 0 |
| Automatic Componentwise Boosting: An Interpretable AutoML System | Sep 12, 2021 | AutoMLFeature Importance | —Unverified | 0 |
| Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection | Sep 12, 2021 | Feature Importancefeature selection | —Unverified | 0 |
| Model Explanations via the Axiomatic Causal Lens | Sep 8, 2021 | Feature Importancemodel | CodeCode Available | 0 |
| Optimizing model-agnostic Random Subspace ensembles | Sep 7, 2021 | Feature Importancefeature selection | CodeCode Available | 0 |
| Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud | Sep 7, 2021 | Bias DetectionBIG-bench Machine Learning | CodeCode Available | 1 |
| Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process | Sep 3, 2021 | BIG-bench Machine LearningFeature Importance | —Unverified | 0 |
| Inferring feature importance with uncertainties in high-dimensional data | Sep 2, 2021 | Feature ImportanceVocal Bursts Intensity Prediction | CodeCode Available | 0 |
| Discretized Integrated Gradients for Explaining Language Models | Aug 31, 2021 | Feature ImportanceSentiment Analysis | CodeCode Available | 1 |
