| Consequence-aware Sequential Counterfactual Generation | Apr 12, 2021 | counterfactual | CodeCode Available | 0 |
| Counterfactually Comparing Abstaining Classifiers | May 17, 2023 | Causal Inferencecounterfactual | CodeCode Available | 0 |
| Robust Synthetic Control | Nov 18, 2017 | counterfactual | CodeCode Available | 0 |
| On the Impact of Outlier Bias on User Clicks | May 1, 2023 | counterfactualLearning-To-Rank | CodeCode Available | 0 |
| Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data | Oct 9, 2020 | counterfactualNatural Language Inference | CodeCode Available | 0 |
| Causal Effect Estimation using Variational Information Bottleneck | Oct 26, 2021 | Causal Inferencecounterfactual | CodeCode Available | 0 |
| Conceptual Edits as Counterfactual Explanations | Mar 23, 2022 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach | Dec 14, 2022 | counterfactual | CodeCode Available | 0 |
| ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging | Mar 27, 2023 | counterfactual | CodeCode Available | 0 |
| RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model | Jun 1, 2022 | counterfactual | CodeCode Available | 0 |
