| Accurate and Robust Feature Importance Estimation under Distribution Shifts | Sep 30, 2020 | Feature Importance | —Unverified | 0 |
| Explainable AI without Interpretable Model | Sep 29, 2020 | Explainable Artificial Intelligence (XAI)Feature Importance | —Unverified | 0 |
| A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process | Sep 25, 2020 | Chemical ProcessFeature Importance | —Unverified | 0 |
| Demand Forecasting in Bike-sharing Systems Based on A Multiple Spatiotemporal Fusion Network | Sep 23, 2020 | Demand ForecastingEnsemble Learning | —Unverified | 0 |
| Reconstructing Actions To Explain Deep Reinforcement Learning | Sep 17, 2020 | Atari GamesDeep Reinforcement Learning | —Unverified | 0 |
| Better Model Selection with a new Definition of Feature Importance | Sep 16, 2020 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 |
| Captum: A unified and generic model interpretability library for PyTorch | Sep 16, 2020 | Feature Importance | CodeCode Available | 0 |
| 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 |
| 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 |
