| Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks | Jan 21, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| Counterfactually Comparing Abstaining Classifiers | May 17, 2023 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Generating collective counterfactual explanations in score-based classification via mathematical optimization | Oct 19, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| Counterfactually Fair Prediction Using Multiple Causal Models | Oct 1, 2018 | counterfactualFairness | CodeCode Available | 0 | 5 |
| DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI | Jul 18, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls | Dec 25, 2017 | Causal InferenceConformal Prediction | CodeCode Available | 0 | 5 |
| Counterfactual Explanation Algorithms for Behavioral and Textual Data | Dec 4, 2019 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| Causal Inference for Knowledge Graph based Recommendation | Dec 20, 2022 | Causal InferenceCollaborative Filtering | CodeCode Available | 0 | 5 |
| DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data | Mar 7, 2023 | counterfactualGenerative Adversarial Network | CodeCode Available | 0 | 5 |
| ECINN: Efficient Counterfactuals from Invertible Neural Networks | Mar 25, 2021 | counterfactualimage-classification | CodeCode Available | 0 | 5 |
