| Dynamic Slimmable Network | Mar 24, 2021 | FairnessModel Compression | CodeCode Available | 1 | 5 |
| Efficient Conditionally Invariant Representation Learning | Dec 16, 2022 | Fairnessregression | CodeCode Available | 1 | 5 |
| Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation | Jan 11, 2021 | Fairness | CodeCode Available | 1 | 5 |
| On Tilted Losses in Machine Learning: Theory and Applications | Sep 13, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 1 | 5 |
| Controlling Directions Orthogonal to a Classifier | Jan 27, 2022 | Domain AdaptationFairness | CodeCode Available | 1 | 5 |
| Controlling Fairness and Bias in Dynamic Learning-to-Rank | May 29, 2020 | ArticlesFairness | CodeCode Available | 1 | 5 |
| Counterfactual Inference for Text Classification Debiasing | Aug 1, 2021 | Classificationcounterfactual | CodeCode Available | 1 | 5 |
| OpenXAI: Towards a Transparent Evaluation of Model Explanations | Jun 22, 2022 | BenchmarkingExplainable Artificial Intelligence (XAI) | CodeCode Available | 1 | 5 |
| Optimizing fairness tradeoffs in machine learning with multiobjective meta-models | Apr 21, 2023 | FairnessMultiobjective Optimization | CodeCode Available | 1 | 5 |
| An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes | Oct 1, 2024 | FairnessSurvival Analysis | CodeCode Available | 1 | 5 |
| DISSECT: Disentangled Simultaneous Explanations via Concept Traversals | May 31, 2021 | counterfactualFairness | CodeCode Available | 1 | 5 |
| Distributionally Generative Augmentation for Fair Facial Attribute Classification | Mar 11, 2024 | AttributeClassification | CodeCode Available | 1 | 5 |
| An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction | Jul 20, 2020 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Path-Specific Counterfactual Fairness for Recommender Systems | Jun 5, 2023 | Blockingcounterfactual | CodeCode Available | 1 | 5 |
| Advanced Codebook Design for SCMA-aided NTNs With Randomly Distributed Users | Apr 7, 2025 | DiversityFairness | CodeCode Available | 1 | 5 |
| CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems | Apr 17, 2022 | FairnessRecommendation Systems | CodeCode Available | 1 | 5 |
| Rule Generation for Classification: Scalability, Interpretability, and Fairness | Apr 21, 2021 | ClassificationFairness | CodeCode Available | 1 | 5 |
| PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning | Jun 6, 2021 | Deep LearningDiversity | CodeCode Available | 1 | 5 |
| Private and Reliable Neural Network Inference | Oct 27, 2022 | FairnessPrivacy Preserving | CodeCode Available | 1 | 5 |
| Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? | May 26, 2021 | FairnessRecommendation Systems | CodeCode Available | 1 | 5 |
| Promoting Fairness through Hyperparameter Optimization | Mar 23, 2021 | FairnessFraud Detection | CodeCode Available | 1 | 5 |
| Prompting GPT-3 To Be Reliable | Oct 17, 2022 | FairnessLanguage Modelling | CodeCode Available | 1 | 5 |
| Directional Bias Amplification | Feb 24, 2021 | Fairness | CodeCode Available | 1 | 5 |
| Disparate Impact in Differential Privacy from Gradient Misalignment | Jun 15, 2022 | Fairness | CodeCode Available | 1 | 5 |
| Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics | Jun 6, 2022 | Decision MakingFairness | CodeCode Available | 1 | 5 |
