| Effective Explanations for Entity Resolution Models | Mar 24, 2022 | Attributecounterfactual | CodeCode Available | 0 | 5 |
| ECINN: Efficient Counterfactuals from Invertible Neural Networks | Mar 25, 2021 | counterfactualimage-classification | CodeCode Available | 0 | 5 |
| Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival data | Jan 13, 2023 | counterfactualparameter estimation | CodeCode Available | 0 | 5 |
| Cooperative Knowledge Distillation: A Learner Agnostic Approach | Feb 2, 2024 | counterfactualKnowledge Distillation | CodeCode Available | 0 | 5 |
| Convex optimization for actionable \& plausible counterfactual explanations | May 17, 2021 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| Dynamic Causal Collaborative Filtering | Aug 23, 2022 | Collaborative Filteringcounterfactual | CodeCode Available | 0 | 5 |
| Convex Density Constraints for Computing Plausible Counterfactual Explanations | Feb 12, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 | 5 |
| Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework | Sep 24, 2024 | Benchmarkingcounterfactual | CodeCode Available | 0 | 5 |
| Combining No-regret and Q-learning | Oct 7, 2019 | counterfactualQ-Learning | CodeCode Available | 0 | 5 |
| Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations | Oct 17, 2022 | Adversarial AttackAdversarial Robustness | CodeCode Available | 0 | 5 |
