| Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems using Feature Importance Fusion | Sep 11, 2020 | BIG-bench Machine LearningDecision Making | —Unverified | 0 |
| Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation | Sep 6, 2020 | Active LearningFeature Importance | —Unverified | 0 |
| agtboost: Adaptive and Automatic Gradient Tree Boosting Computations | Aug 28, 2020 | Feature Importance | CodeCode Available | 1 |
| Breaking the Communities: Characterizing community changing users using text mining and graph machine learning on Twitter | Aug 24, 2020 | BIG-bench Machine LearningFeature Importance | —Unverified | 0 |
| Reliable Post hoc Explanations: Modeling Uncertainty in Explainability | Aug 11, 2020 | Feature Importance | CodeCode Available | 1 |
| Whole MILC: generalizing learned dynamics across tasks, datasets, and populations | Jul 29, 2020 | Feature Importance | CodeCode Available | 0 |
| Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt | Jul 28, 2020 | BIG-bench Machine LearningCrop Yield Prediction | —Unverified | 0 |
| Oblique Predictive Clustering Trees | Jul 27, 2020 | ClusteringComputational Efficiency | CodeCode Available | 0 |
| Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint | Jul 24, 2020 | ClusteringFeature Importance | CodeCode Available | 0 |
| Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance | Jul 21, 2020 | Anomaly DetectionFeature Importance | CodeCode Available | 1 |
| Relative Feature Importance | Jul 16, 2020 | Feature ImportanceInterpretable Machine Learning | CodeCode Available | 0 |
| Exclusion and Inclusion -- A model agnostic approach to feature importance in DNNs | Jul 13, 2020 | Feature Importanceregression | CodeCode Available | 0 |
| General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models | Jul 8, 2020 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 |
| Graph Neural Networks Including Sparse Interpretability | Jun 30, 2020 | Feature ImportanceRepresentation Learning | —Unverified | 0 |
| Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors | Jun 27, 2020 | ClusteringDimensionality Reduction | CodeCode Available | 1 |
| Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation | Jun 26, 2020 | Atari GamesData Augmentation | CodeCode Available | 1 |
| Efficient nonparametric statistical inference on population feature importance using Shapley values | Jun 16, 2020 | Feature ImportanceMortality Prediction | CodeCode Available | 1 |
| Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances | Jun 14, 2020 | BIG-bench Machine LearningFeature Importance | —Unverified | 0 |
| Why Attentions May Not Be Interpretable? | Jun 10, 2020 | Feature Importance | —Unverified | 0 |
| X-SHAP: towards multiplicative explainability of Machine Learning | Jun 8, 2020 | BIG-bench Machine LearningFeature Importance | —Unverified | 0 |
| Nonparametric Feature Impact and Importance | Jun 8, 2020 | Feature Importancefeature selection | CodeCode Available | 1 |
| Model-agnostic Feature Importance and Effects with Dependent Features -- A Conditional Subgroup Approach | Jun 8, 2020 | Feature Importance | CodeCode Available | 0 |
| Using an interpretable Machine Learning approach to study the drivers of International Migration | Jun 5, 2020 | BIG-bench Machine LearningFeature Importance | —Unverified | 0 |
| COVID-19 diagnosis by routine blood tests using machine learning | Jun 4, 2020 | BIG-bench Machine LearningCOVID-19 Diagnosis | —Unverified | 0 |
| Towards Global Explanations of Convolutional Neural Networks With Concept Attribution | Jun 1, 2020 | Feature Importance | —Unverified | 0 |
