| Towards a Unified Framework for Fair and Stable Graph Representation Learning | Feb 25, 2021 | counterfactualFairness | CodeCode Available | 1 |
| Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays | Feb 18, 2021 | counterfactualImage Attribution | CodeCode Available | 1 |
| CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks | Feb 5, 2021 | counterfactualPrediction | CodeCode Available | 1 |
| Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms | Jan 26, 2021 | counterfactualMeta-Learning | CodeCode Available | 1 |
| Counterfactual Generative Networks | Jan 15, 2021 | Classificationcounterfactual | CodeCode Available | 1 |
| Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis | Jan 13, 2021 | counterfactualCounterfactual Inference | CodeCode Available | 1 |
| Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models | Jan 1, 2021 | counterfactualText Generation | CodeCode Available | 1 |
| Explaining NLP Models via Minimal Contrastive Editing (MiCE) | Dec 27, 2020 | counterfactualMultiple-choice | CodeCode Available | 1 |
| GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning | Dec 22, 2020 | counterfactualCounterfactual Explanation | CodeCode Available | 1 |
| Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals | Dec 18, 2020 | counterfactualGeneral Classification | CodeCode Available | 1 |
