| Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects | Dec 9, 2022 | 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 |
| Adversarial Distribution Balancing for Counterfactual Reasoning | Nov 28, 2023 | counterfactualCounterfactual Reasoning | CodeCode Available | 0 | 5 |
| Causal Augmentation for Causal Sentence Classification | Nov 1, 2021 | Classificationcounterfactual | 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 |
| Achieving Counterfactual Fairness with Imperfect Structural Causal Model | Mar 26, 2023 | counterfactualCounterfactual Inference | CodeCode Available | 0 | 5 |
| Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models | Oct 25, 2022 | counterfactual | CodeCode Available | 0 | 5 |
| Counterfactual reasoning: an analysis of in-context emergence | Jun 5, 2025 | counterfactualCounterfactual Reasoning | CodeCode Available | 0 | 5 |
| CausAdv: A Causal-based Framework for Detecting Adversarial Examples | Oct 29, 2024 | Adversarial Robustnesscounterfactual | CodeCode Available | 0 | 5 |
| An Offline Metric for the Debiasedness of Click Models | Apr 19, 2023 | counterfactualLearning-To-Rank | CodeCode Available | 0 | 5 |
