| DeCaFlow: A Deconfounding Causal Generative Model | Mar 19, 2025 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Causal Proxy Models for Concept-Based Model Explanations | Sep 28, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics | Aug 28, 2023 | counterfactualDomain Adaptation | CodeCode Available | 1 | 5 |
| Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays | Feb 18, 2021 | counterfactualImage Attribution | CodeCode Available | 1 | 5 |
| Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes | Apr 10, 2017 | Bayesian Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Estimating heterogeneous survival treatment effect in observational data using machine learning | Aug 17, 2020 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 0 | 5 |
| Errudite: Scalable, Reproducible, and Testable Error Analysis | Jul 1, 2019 | counterfactual | CodeCode Available | 0 | 5 |
| ESCM^2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation | Apr 3, 2022 | counterfactualRecommendation Systems | CodeCode Available | 0 | 5 |
| Ensemble of Counterfactual Explainers | Aug 29, 2023 | counterfactualDiversity | CodeCode Available | 0 | 5 |
| Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective | May 8, 2025 | Active LearningBenchmarking | CodeCode Available | 0 | 5 |
| Learning Models for Actionable Recourse | Nov 12, 2020 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| Enhancing Model Robustness and Fairness with Causality: A Regularization Approach | Oct 3, 2021 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals | Apr 9, 2025 | counterfactualSynthetic Data Generation | CodeCode Available | 0 | 5 |
| Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity | Jun 7, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| Endogenous Macrodynamics in Algorithmic Recourse | Aug 16, 2023 | counterfactualvalid | CodeCode Available | 0 | 5 |
| Causal Expectation-Maximisation | Nov 4, 2020 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| ALMANACS: A Simulatability Benchmark for Language Model Explainability | Dec 20, 2023 | counterfactualLanguage Modeling | 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 computation of counterfactual explanations of LVQ models | Aug 2, 2019 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 | 5 |
| Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games | Feb 13, 2021 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| Efficient Search for Diverse Coherent Explanations | Jan 2, 2019 | counterfactual | CodeCode Available | 0 | 5 |
| Enhancing Counterfactual Classification via Self-Training | Dec 8, 2021 | Classificationcounterfactual | CodeCode Available | 0 | 5 |
| A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination | Mar 28, 2025 | Binary Classificationcounterfactual | CodeCode Available | 0 | 5 |
| Effective Explanations for Entity Resolution Models | Mar 24, 2022 | Attributecounterfactual | CodeCode Available | 0 | 5 |
| Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation | May 25, 2023 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Aligning (Medical) LLMs for (Counterfactual) Fairness | Aug 22, 2024 | counterfactualFairness | CodeCode Available | 0 | 5 |
| ECINN: Efficient Counterfactuals from Invertible Neural Networks | Mar 25, 2021 | counterfactualimage-classification | 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 |
| Δ- OPE: Off-Policy Estimation with Pairs of Policies | May 16, 2024 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles | Nov 27, 2019 | counterfactual | CodeCode Available | 0 | 5 |
| AudioGenX: Explainability on Text-to-Audio Generative Models | Feb 1, 2025 | Audio Generationcounterfactual | 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 |
| Dynamic Causal Collaborative Filtering | Aug 23, 2022 | Collaborative Filteringcounterfactual | CodeCode Available | 0 | 5 |
| Efficient Classification with Counterfactual Reasoning and Active Learning | Jul 25, 2022 | Active LearningClassification | CodeCode Available | 0 | 5 |
| Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects | Dec 9, 2022 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing | Aug 5, 2024 | 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 |
| A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations | Mar 2, 2024 | counterfactual | 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 |
| Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation | Apr 12, 2021 | counterfactualPrediction | CodeCode Available | 0 | 5 |
| A Cross-Linguistic Pressure for Uniform Information Density in Word Order | Jun 6, 2023 | counterfactual | CodeCode Available | 0 | 5 |
| Double Robust Representation Learning for Counterfactual Prediction | Oct 15, 2020 | Causal Inferencecounterfactual | 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 |
| Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing | May 25, 2022 | counterfactualData Augmentation | CodeCode Available | 0 | 5 |
| Distributional conformal prediction | Sep 17, 2019 | Conformal Predictioncounterfactual | CodeCode Available | 0 | 5 |
| Do LLMs Have the Generalization Ability in Conducting Causal Inference? | Oct 15, 2024 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI | Jul 18, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| Efficient computation of contrastive explanations | Oct 6, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 | 5 |
| Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning | Oct 30, 2023 | counterfactual | CodeCode Available | 0 | 5 |
| DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference | Mar 2, 2024 | Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA) | CodeCode Available | 0 | 5 |