| Counterfactual Adversarial Learning with Representation Interpolation | Sep 10, 2021 | counterfactualLogical Reasoning | CodeCode Available | 0 | 5 |
| Analyzing Intentional Behavior in Autonomous Agents under Uncertainty | Jul 4, 2023 | counterfactualCounterfactual Reasoning | CodeCode Available | 0 | 5 |
| Δ- OPE: Off-Policy Estimation with Pairs of Policies | May 16, 2024 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation | May 25, 2023 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI | Jul 18, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness | Nov 20, 2022 | counterfactualData Augmentation | CodeCode Available | 0 | 5 |
| A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations | Mar 2, 2024 | counterfactual | CodeCode Available | 0 | 5 |
| Regularization Learning Networks: Deep Learning for Tabular Datasets | May 16, 2018 | counterfactualDeep Learning | CodeCode Available | 0 | 5 |
| Deep representation learning for individualized treatment effect estimation using electronic health records | Dec 1, 2019 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual Explanations | Dec 13, 2021 | Adversarial Robustnesscounterfactual | CodeCode Available | 0 | 5 |
