| Causal Explanation of Convolutional Neural Networks | Sep 13, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections | May 24, 2022 | counterfactualDecision Making | CodeCode Available | 0 | 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 |
| Efficient Classification with Counterfactual Reasoning and Active Learning | Jul 25, 2022 | Active LearningClassification | CodeCode Available | 0 | 5 |
| Causal Effect Estimation using Variational Information Bottleneck | Oct 26, 2021 | 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 |
| Efficient Search for Diverse Coherent Explanations | Jan 2, 2019 | counterfactual | CodeCode Available | 0 | 5 |
| Learning Models for Actionable Recourse | Nov 12, 2020 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| Experiential Explanations for Reinforcement Learning | Oct 10, 2022 | Chunkingcounterfactual | 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 |
| Δ- OPE: Off-Policy Estimation with Pairs of Policies | May 16, 2024 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI | Jul 18, 2023 | counterfactualCounterfactual Explanation | 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 |
| Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects | Dec 9, 2022 | 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 |
| Double Robust Representation Learning for Counterfactual Prediction | Oct 15, 2020 | Causal Inferencecounterfactual | 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 |
| Dynamic Causal Collaborative Filtering | Aug 23, 2022 | Collaborative Filteringcounterfactual | CodeCode Available | 0 | 5 |
| Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness | Oct 30, 2023 | counterfactualFairness | 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 |
| Adversarially Balanced Representation for Continuous Treatment Effect Estimation | Dec 17, 2023 | counterfactualRepresentation Learning | CodeCode Available | 0 | 5 |
| Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning | May 26, 2024 | counterfactualDecision Making | 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 |
| Causal Collaborative Filtering | Feb 3, 2021 | Collaborative Filteringcounterfactual | CodeCode Available | 0 | 5 |
