| 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 |
