| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 |
| Measuring Association Between Labels and Free-Text Rationales | Oct 24, 2020 | Decision MakingFeature Importance | CodeCode Available | 1 |
| A Multilinear Sampling Algorithm to Estimate Shapley Values | Oct 22, 2020 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 0 |
| Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble | Oct 21, 2020 | ClassificationFeature Importance | —Unverified | 0 |
| Feature Importance Ranking for Deep Learning | Oct 18, 2020 | Combinatorial OptimizationDeep Learning | CodeCode Available | 1 |
| Understanding Information Processing in Human Brain by Interpreting Machine Learning Models | Oct 17, 2020 | BIG-bench Machine LearningDimensionality Reduction | CodeCode Available | 1 |
| TimeSHAP: Explaining Recurrent Models through Sequence Perturbations | Oct 16, 2020 | Decision MakingFeature Importance | —Unverified | 0 |
| Local vs. Global interpretations for NLP | Oct 15, 2020 | Feature Importancetext-classification | —Unverified | 0 |
| Explaining Neural Network Predictions for Functional Data Using Principal Component Analysis and Feature Importance | Oct 15, 2020 | BIG-bench Machine LearningFeature Importance | —Unverified | 0 |
| Altruist: Argumentative Explanations through Local Interpretations of Predictive Models | Oct 15, 2020 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 0 |
| Marginal Contribution Feature Importance -- an Axiomatic Approach for The Natural Case | Oct 15, 2020 | Feature Importance | CodeCode Available | 0 |
| A data-driven approach to the forecasting of ground-level ozone concentration | Oct 14, 2020 | Feature Importancefeature selection | —Unverified | 0 |
| Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks | Oct 13, 2020 | Feature Importancefeature selection | —Unverified | 0 |
| Embedded methods for feature selection in neural networks | Oct 12, 2020 | Feature Importancefeature selection | —Unverified | 0 |
| Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning | Oct 8, 2020 | BIG-bench Machine LearningExperimental Design | —Unverified | 0 |
| Computational analysis of pathological image enables interpretable prediction for microsatellite instability | Oct 7, 2020 | Feature Importancewhole slide images | —Unverified | 0 |
| Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop | Oct 2, 2020 | Feature Importancefeature selection | —Unverified | 0 |
| Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task | Sep 30, 2020 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 |
| 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 |
| Captum: A unified and generic model interpretability library for PyTorch | Sep 16, 2020 | Feature Importance | CodeCode Available | 0 |
| Better Model Selection with a new Definition of Feature Importance | Sep 16, 2020 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 |
