| Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks | Oct 1, 2018 | counterfactualCounterfactual Inference | CodeCode Available | 0 |
| Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models | Oct 4, 2024 | counterfactualData Augmentation | CodeCode Available | 0 |
| Counterfactual Identifiability of Bijective Causal Models | Feb 4, 2023 | counterfactual | CodeCode Available | 0 |
| Assessing Racial Disparities in Healthcare Expenditures Using Causal Path-Specific Effects | Apr 30, 2025 | counterfactual | CodeCode Available | 0 |
| Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study | Apr 4, 2024 | counterfactualLearning-To-Rank | CodeCode Available | 0 |
| Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes | Aug 4, 2023 | Binary ClassificationContrastive Learning | CodeCode Available | 0 |
| Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples | Oct 16, 2022 | counterfactualLogical Reasoning | CodeCode Available | 0 |
| ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling | Sep 17, 2020 | counterfactualQuestion Answering | CodeCode Available | 0 |
| PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards | Aug 24, 2020 | Adversarial AttackBIG-bench Machine Learning | CodeCode Available | 0 |
| Counterfactual Graphs for Explainable Classification of Brain Networks | Jun 16, 2021 | Classificationcounterfactual | CodeCode Available | 0 |
