| Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble | Sep 5, 2024 | counterfactualFairness | CodeCode Available | 0 |
| Debiasing Recommendation by Learning Identifiable Latent Confounders | Feb 10, 2023 | Causal Inferencecounterfactual | CodeCode Available | 0 |
| An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls | Dec 25, 2017 | Causal InferenceConformal Prediction | CodeCode Available | 0 |
| Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization | May 20, 2022 | counterfactualGenerative Adversarial Network | CodeCode Available | 0 |
| Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues | Oct 30, 2022 | counterfactualCounterfactual Inference | CodeCode Available | 0 |
| Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure | Sep 28, 2022 | counterfactualGraph Classification | CodeCode Available | 0 |
| Cycle-Balanced Representation Learning For Counterfactual Inference | Oct 29, 2021 | counterfactualCounterfactual Inference | CodeCode Available | 0 |
| RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning | Mar 8, 2023 | counterfactualreinforcement-learning | CodeCode Available | 0 |
| Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction | Jul 24, 2023 | counterfactual | CodeCode Available | 0 |
| Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts | Dec 5, 2024 | counterfactual | CodeCode Available | 0 |
