| Catalog of quasars from the Kilo-Degree Survey Data Release 3 | Dec 7, 2018 | Feature Importance | CodeCode Available | 0 |
| Learning Interpretable Characteristic Kernels via Decision Forests | Nov 30, 2018 | Feature ImportanceGeneral Classification | —Unverified | 0 |
| Differential Private Stack Generalization with an Application to Diabetes Prediction | Nov 23, 2018 | Diabetes PredictionEnsemble Learning | —Unverified | 0 |
| Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions | Nov 19, 2018 | Computational EfficiencyFeature Importance | CodeCode Available | 0 |
| Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record | Oct 10, 2018 | Feature Importance | CodeCode Available | 0 |
| A Genre-Aware Attention Model to Improve the Likability Prediction of Books | Oct 1, 2018 | Feature ImportancePrediction | CodeCode Available | 0 |
| Interpreting Neural Networks With Nearest Neighbors | Sep 8, 2018 | Feature ImportanceGeneral Classification | CodeCode Available | 0 |
| Rule induction for global explanation of trained models | Aug 29, 2018 | Feature Importancetext-classification | CodeCode Available | 0 |
| L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data | Aug 8, 2018 | Feature Importance | CodeCode Available | 0 |
| Regional Multi-scale Approach for Visually Pleasing Explanations of Deep Neural Networks | Jul 31, 2018 | Feature Importance | —Unverified | 0 |
| PaloBoost: An Overfitting-robust TreeBoost with Out-of-Bag Sample Regularization Techniques | Jul 22, 2018 | Feature Importance | —Unverified | 0 |
| Knockoffs for the mass: new feature importance statistics with false discovery guarantees | Jul 17, 2018 | Feature Importancevalid | —Unverified | 0 |
| A Benchmark for Interpretability Methods in Deep Neural Networks | Jun 28, 2018 | Feature Importanceimage-classification | CodeCode Available | 0 |
| RISE: Randomized Input Sampling for Explanation of Black-box Models | Jun 19, 2018 | Explainable Artificial Intelligence (XAI)Feature Importance | CodeCode Available | 1 |
| Hierarchical interpretations for neural network predictions | Jun 14, 2018 | ClusteringFeature Importance | CodeCode Available | 1 |
| Visualizing the Feature Importance for Black Box Models | Apr 18, 2018 | Feature Importance | CodeCode Available | 0 |
| Predicting Good Configurations for GitHub and Stack Overflow Topic Models | Apr 13, 2018 | Feature ImportanceTopic Models | —Unverified | 0 |
| A Dynamic-Adversarial Mining Approach to the Security of Machine Learning | Mar 24, 2018 | BIG-bench Machine LearningDrift Detection | —Unverified | 0 |
| SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping | Mar 14, 2018 | Feature Importance | —Unverified | 0 |
| Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks | Feb 6, 2018 | Feature ImportanceMixture-of-Experts | CodeCode Available | 0 |
| INTERPRETATION OF NEURAL NETWORK IS FRAGILE | Jan 1, 2018 | BIG-bench Machine LearningFeature Importance | —Unverified | 0 |
| Building effective deep neural networks one feature at a time | Jan 1, 2018 | Feature Importance | —Unverified | 0 |
| Variable Importance Using Decision Trees | Dec 1, 2017 | Feature Importance | —Unverified | 0 |
| AutoLearn - Automated Feature Generation and Selection | Nov 17, 2017 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 0 |
| Feature importance scores and lossless feature pruning using Banzhaf power indices | Nov 14, 2017 | Feature ImportanceGeneral Classification | —Unverified | 0 |
