| Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects | Dec 9, 2022 | 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 |
| Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset | Apr 25, 2022 | counterfactualimage-classification | 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 |
| ECINN: Efficient Counterfactuals from Invertible Neural Networks | Mar 25, 2021 | counterfactualimage-classification | CodeCode Available | 0 | 5 |
| Distributional conformal prediction | Sep 17, 2019 | Conformal Predictioncounterfactual | 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 |
| Distinguishing Cause from Effect with Causal Velocity Models | Feb 7, 2025 | Causal Discoverycounterfactual | 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 |
