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| Getting a CLUE: A Method for Explaining Uncertainty Estimates | Jun 11, 2020 | counterfactual | —Unverified | 0 |
| GLANCE: Global Actions in a Nutshell for Counterfactual Explainability | May 29, 2024 | counterfactual | —Unverified | 0 |
| Global Graph Counterfactual Explanation: A Subgraph Mapping Approach | Oct 25, 2024 | counterfactualCounterfactual Explanation | —Unverified | 0 |
| G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes | Mar 23, 2020 | counterfactualDecision Making | —Unverified | 0 |
| GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks | Jun 6, 2024 | Classificationcounterfactual | —Unverified | 0 |
| Going from a Representative Agent to Counterfactuals in Combinatorial Choice | May 29, 2025 | counterfactualCounterfactual Inference | —Unverified | 0 |
| Good and safe uses of AI Oracles | Nov 15, 2017 | counterfactual | —Unverified | 0 |
| Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI) | May 26, 2020 | counterfactualExplainable Artificial Intelligence (XAI) | —Unverified | 0 |
| Good Data Is All Imitation Learning Needs | Sep 26, 2024 | Allcounterfactual | —Unverified | 0 |
