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| Sufficient Dimension Reduction for Average Causal Effect Estimation | Sep 14, 2020 | counterfactualDimensionality Reduction | —Unverified | 0 |
| MeLIME: Meaningful Local Explanation for Machine Learning Models | Sep 12, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 1 |
| The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples | Sep 11, 2020 | counterfactualRelation | —Unverified | 0 |
| CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets | Sep 11, 2020 | counterfactual | —Unverified | 0 |
| On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning | Sep 10, 2020 | counterfactualExplainable Artificial Intelligence (XAI) | CodeCode Available | 1 |
| RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning | Sep 10, 2020 | counterfactualDecision Making | —Unverified | 0 |
| Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback | Sep 6, 2020 | counterfactualRecommendation Systems | CodeCode Available | 1 |
| PolSIRD: Modeling Epidemic Spread under Intervention Policies | Sep 3, 2020 | counterfactual | —Unverified | 0 |
| Model extraction from counterfactual explanations | Sep 3, 2020 | counterfactualmodel | CodeCode Available | 0 |