| Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification | Aug 19, 2021 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Global Counterfactual Explainer for Graph Neural Networks | Oct 21, 2022 | counterfactualCounterfactual Explanation | CodeCode Available | 1 | 5 |
| Causal Autoregressive Flows | Nov 4, 2020 | Causal DiscoveryCausal Inference | CodeCode Available | 1 | 5 |
| Towards explainable classifiers using the counterfactual approach -- global explanations for discovering bias in data | May 5, 2020 | Bias Detectioncounterfactual | CodeCode Available | 1 | 5 |
| Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning | Sep 22, 2023 | counterfactualMulti-agent Reinforcement Learning | CodeCode Available | 1 | 5 |
| CausalCite: A Causal Formulation of Paper Citations | Nov 5, 2023 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Counterfactual Explanations in Sequential Decision Making Under Uncertainty | Jul 6, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 1 | 5 |
| High Fidelity Image Counterfactuals with Probabilistic Causal Models | Jun 27, 2023 | counterfactual | CodeCode Available | 1 | 5 |
| Identifying Interpretable Subspaces in Image Representations | Jul 20, 2023 | counterfactualLanguage Modeling | CodeCode Available | 1 | 5 |
| D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion | Oct 30, 2023 | counterfactualDenoising | CodeCode Available | 1 | 5 |
