| D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion | Oct 30, 2023 | counterfactualDenoising | CodeCode Available | 1 | 5 |
| Causal Proxy Models for Concept-Based Model Explanations | Sep 28, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning | Oct 6, 2020 | counterfactualCounterfactual Reasoning | CodeCode Available | 1 | 5 |
| Ask to Know More: Generating Counterfactual Explanations for Fake Claims | Jun 10, 2022 | Articlescounterfactual | CodeCode Available | 1 | 5 |
| Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival data | Jan 13, 2023 | counterfactualparameter estimation | CodeCode Available | 0 | 5 |
| Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes | Apr 10, 2017 | Bayesian Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Efficient Classification with Counterfactual Reasoning and Active Learning | Jul 25, 2022 | Active LearningClassification | CodeCode Available | 0 | 5 |
| ECINN: Efficient Counterfactuals from Invertible Neural Networks | Mar 25, 2021 | counterfactualimage-classification | CodeCode Available | 0 | 5 |
| Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation | May 25, 2023 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Effective Explanations for Entity Resolution Models | Mar 24, 2022 | Attributecounterfactual | CodeCode Available | 0 | 5 |
| Efficient computation of contrastive explanations | Oct 6, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 | 5 |
| Δ- OPE: Off-Policy Estimation with Pairs of Policies | May 16, 2024 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data | Mar 7, 2023 | counterfactualGenerative Adversarial Network | CodeCode Available | 0 | 5 |
| Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset | Apr 25, 2022 | counterfactualimage-classification | CodeCode Available | 0 | 5 |
| DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI | Jul 18, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| Dynamic Causal Collaborative Filtering | Aug 23, 2022 | Collaborative Filteringcounterfactual | CodeCode Available | 0 | 5 |
| Efficient computation of counterfactual explanations of LVQ models | Aug 2, 2019 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 | 5 |
| Double Robust Representation Learning for Counterfactual Prediction | Oct 15, 2020 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation | Apr 12, 2021 | counterfactualPrediction | CodeCode Available | 0 | 5 |
| Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing | May 25, 2022 | counterfactualData Augmentation | CodeCode Available | 0 | 5 |
| Does It Make Sense to Explain a Black Box With Another Black Box? | Apr 23, 2024 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| Do LLMs Have the Generalization Ability in Conducting Causal Inference? | Oct 15, 2024 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to Rank | Mar 31, 2022 | counterfactualGeneral Reinforcement Learning | CodeCode Available | 0 | 5 |
| ALMANACS: A Simulatability Benchmark for Language Model Explainability | Dec 20, 2023 | counterfactualLanguage Modeling | CodeCode Available | 0 | 5 |
| Distributional conformal prediction | Sep 17, 2019 | Conformal Predictioncounterfactual | CodeCode Available | 0 | 5 |
