| Generative Counterfactual Introspection for Explainable Deep Learning | Jul 6, 2019 | counterfactualDeep Learning | —Unverified | 0 |
| Explaining Predictions from Tree-based Boosting Ensembles | Jul 4, 2019 | counterfactualCounterfactual Explanation | —Unverified | 0 |
| Interpretable Counterfactual Explanations Guided by Prototypes | Jul 3, 2019 | counterfactualDiagnostic | CodeCode Available | 2 |
| Circuit-Based Intrinsic Methods to Detect Overfitting | Jul 3, 2019 | counterfactualMemorization | —Unverified | 0 |
| Errudite: Scalable, Reproducible, and Testable Error Analysis | Jul 1, 2019 | counterfactual | CodeCode Available | 0 |
| The Sensitivity of Counterfactual Fairness to Unmeasured Confounding | Jul 1, 2019 | counterfactualFairness | CodeCode Available | 0 |
| Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning | Jun 30, 2019 | counterfactualDeep Reinforcement Learning | —Unverified | 0 |
| Rethinking Formal Models of Partially Observable Multiagent Decision Making | Jun 26, 2019 | counterfactualDecision Making | —Unverified | 0 |
| Explaining Deep Learning Models with Constrained Adversarial Examples | Jun 25, 2019 | Classificationcounterfactual | CodeCode Available | 0 |
| A Self-supervised Approach to Hierarchical Forecasting with Applications to Groupwise Synthetic Controls | Jun 25, 2019 | counterfactualTime Series | —Unverified | 0 |
