| Deep Kalman Filters | Nov 16, 2015 | counterfactualCounterfactual Inference | CodeCode Available | 0 |
| Machine learning in policy evaluation: new tools for causal inference | Mar 1, 2019 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 0 |
| Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation | Sep 22, 2023 | counterfactual | CodeCode Available | 0 |
| Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that? | May 12, 2022 | counterfactualMisinformation | CodeCode Available | 0 |
| Explainable Reinforcement Learning Through a Causal Lens | May 27, 2019 | counterfactualreinforcement-learning | CodeCode Available | 0 |
| Using Instruction-Tuned Large Language Models to Identify Indicators of Vulnerability in Police Incident Narratives | Dec 16, 2024 | counterfactualGeneral Classification | CodeCode Available | 0 |
| EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification | Oct 23, 2023 | counterfactualData Augmentation | CodeCode Available | 0 |
| Deep IV: A Flexible Approach for Counterfactual Prediction | Aug 1, 2017 | counterfactualPrediction | CodeCode Available | 0 |
| Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning | Sep 7, 2023 | counterfactualCounterfactual Reasoning | CodeCode Available | 0 |
| Deep Counterfactual Networks with Propensity-Dropout | Jun 19, 2017 | Causal Inferencecounterfactual | CodeCode Available | 0 |
