| Causal Inference for Human-Language Model Collaboration | Mar 30, 2024 | Causal Inferencecounterfactual | CodeCode Available | 0 |
| Towards Robust Multi-UAV Collaboration: MARL with Noise-Resilient Communication and Attention Mechanisms | Mar 4, 2025 | counterfactualDecision Making | CodeCode Available | 0 |
| Causal Explanation of Convolutional Neural Networks | Sep 13, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback | May 3, 2018 | counterfactualSemantic Parsing | CodeCode Available | 0 |
| Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective | Nov 1, 2024 | counterfactualCounterfactual Reasoning | CodeCode Available | 0 |
| Consequence-aware Sequential Counterfactual Generation | Apr 12, 2021 | counterfactual | CodeCode Available | 0 |
| Counterfactually Comparing Abstaining Classifiers | May 17, 2023 | Causal Inferencecounterfactual | CodeCode Available | 0 |
| Robust Synthetic Control | Nov 18, 2017 | counterfactual | CodeCode Available | 0 |
| On the Impact of Outlier Bias on User Clicks | May 1, 2023 | counterfactualLearning-To-Rank | CodeCode Available | 0 |
| Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data | Oct 9, 2020 | counterfactualNatural Language Inference | CodeCode Available | 0 |
| Causal Effect Estimation using Variational Information Bottleneck | Oct 26, 2021 | Causal Inferencecounterfactual | CodeCode Available | 0 |
| Conceptual Edits as Counterfactual Explanations | Mar 23, 2022 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach | Dec 14, 2022 | counterfactual | CodeCode Available | 0 |
| ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging | Mar 27, 2023 | counterfactual | CodeCode Available | 0 |
| RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model | Jun 1, 2022 | counterfactual | CodeCode Available | 0 |
| Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure | Apr 18, 2025 | counterfactualSequential Recommendation | CodeCode Available | 0 |
| COMRECGC: Global Graph Counterfactual Explainer through Common Recourse | May 11, 2025 | Binary Classificationcounterfactual | CodeCode Available | 0 |
| Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness | Oct 30, 2023 | counterfactualFairness | CodeCode Available | 0 |
| Comprehensive Fair Meta-learned Recommender System | Jun 9, 2022 | counterfactualFairness | CodeCode Available | 0 |
| Combining No-regret and Q-learning | Oct 7, 2019 | counterfactualQ-Learning | CodeCode Available | 0 |
| COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images | Apr 19, 2024 | Computed Tomography (CT)counterfactual | CodeCode Available | 0 |
| In-Contextual Gender Bias Suppression for Large Language Models | Sep 13, 2023 | counterfactualData Augmentation | CodeCode Available | 0 |
| Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning | May 26, 2024 | counterfactualDecision Making | CodeCode Available | 0 |
| Text Counterfactuals via Latent Optimization and Shapley-Guided Search | Oct 22, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| Towards Understanding Gender Bias in Relation Extraction | Nov 9, 2019 | counterfactualData Augmentation | CodeCode Available | 0 |