| MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation | May 31, 2022 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 2 |
| auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data | Apr 15, 2022 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 2 |
| Counterfactual Phenotyping with Censored Time-to-Events | Feb 22, 2022 | counterfactualCounterfactual Reasoning | CodeCode Available | 2 |
| Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning | Jun 4, 2021 | counterfactualDeep Reinforcement Learning | CodeCode Available | 2 |
| Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End | Nov 10, 2020 | Causal Inferencecounterfactual | CodeCode Available | 2 |
| The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models | Aug 12, 2020 | counterfactualSentiment Analysis | CodeCode Available | 2 |
| CausalVAE: Structured Causal Disentanglement in Variational Autoencoder | Apr 18, 2020 | counterfactualDisentanglement | CodeCode Available | 2 |
| Unbiased Scene Graph Generation from Biased Training | Feb 27, 2020 | Causal Inferencecounterfactual | CodeCode Available | 2 |
| Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers | Dec 6, 2019 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 2 |
| Interpretable Counterfactual Explanations Guided by Prototypes | Jul 3, 2019 | counterfactualDiagnostic | CodeCode Available | 2 |
