| AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models | Jan 7, 2022 | Fairness | CodeCode Available | 1 | 5 |
| Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative | Oct 7, 2022 | Contrastive LearningFairness | CodeCode Available | 1 | 5 |
| AutoBalance: Optimized Loss Functions for Imbalanced Data | Jan 4, 2022 | Data AugmentationFairness | CodeCode Available | 1 | 5 |
| Fair Mixup: Fairness via Interpolation | Mar 11, 2021 | Data AugmentationFairness | CodeCode Available | 1 | 5 |
| Fairness-aware Personalized Ranking Recommendation via Adversarial Learning | Mar 14, 2021 | FairnessRecommendation Systems | CodeCode Available | 1 | 5 |
| Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment | Oct 26, 2016 | Decision MakingFairness | CodeCode Available | 1 | 5 |
| Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines | Apr 23, 2022 | BIG-bench Machine LearningFairness | CodeCode Available | 1 | 5 |
| Counterfactual Inference for Text Classification Debiasing | Aug 1, 2021 | Classificationcounterfactual | CodeCode Available | 1 | 5 |
| CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems | Apr 17, 2022 | FairnessRecommendation Systems | CodeCode Available | 1 | 5 |
| Cooperation and Fairness in Multi-Agent Reinforcement Learning | Oct 19, 2024 | FairnessMulti-agent Reinforcement Learning | CodeCode Available | 1 | 5 |
| Fairness in Ranking under Uncertainty | Jul 14, 2021 | Decision MakingFairness | 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 |
| BAD: BiAs Detection for Large Language Models in the context of candidate screening | May 17, 2023 | Bias DetectionFairness | CodeCode Available | 1 | 5 |
| Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems | Mar 10, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 1 | 5 |
| Data Optimization in Deep Learning: A Survey | Oct 25, 2023 | Data AugmentationDeep Learning | CodeCode Available | 1 | 5 |
| Adversarial Attacks on Fairness of Graph Neural Networks | Oct 20, 2023 | Fairness | CodeCode Available | 1 | 5 |
| A Closer Look at AUROC and AUPRC under Class Imbalance | Jan 11, 2024 | Binary ClassificationFairness | CodeCode Available | 1 | 5 |
| Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks | May 8, 2020 | ClusteringFairness | CodeCode Available | 1 | 5 |
| A Closer Look at the Intervention Procedure of Concept Bottleneck Models | Feb 28, 2023 | Fairness | CodeCode Available | 1 | 5 |
| Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline | Jun 2, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 1 | 5 |
| A comparative study of fairness-enhancing interventions in machine learning | Feb 13, 2018 | BIG-bench Machine LearningFairness | CodeCode Available | 1 | 5 |
| FairPut: A Light Framework for Machine Learning Fairness with LightGBM | Oct 22, 2020 | BIG-bench Machine LearningFairness | CodeCode Available | 1 | 5 |
| Bias and Fairness in Large Language Models: A Survey | Sep 2, 2023 | counterfactualFairness | CodeCode Available | 1 | 5 |
| Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training | Jan 1, 2023 | Fairness | CodeCode Available | 1 | 5 |
| Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation | Jan 11, 2021 | Fairness | CodeCode Available | 1 | 5 |
| FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis | Oct 8, 2023 | FairnessMedical Diagnosis | CodeCode Available | 1 | 5 |
| Controlling Directions Orthogonal to a Classifier | Jan 27, 2022 | Domain AdaptationFairness | CodeCode Available | 1 | 5 |
| Aequitas: A Bias and Fairness Audit Toolkit | Nov 14, 2018 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud | Sep 7, 2021 | Bias DetectionBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics | Jun 8, 2021 | Age And Gender ClassificationBenchmarking | CodeCode Available | 1 | 5 |
| An Approach to Ensure Fairness in News Articles | Jul 8, 2022 | ArticlesFairness | CodeCode Available | 1 | 5 |
| Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color | Sep 10, 2023 | FairnessGender Classification | CodeCode Available | 1 | 5 |
| A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice | Jul 18, 2024 | Collaborative FilteringFairness | CodeCode Available | 1 | 5 |
| BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation | Oct 14, 2022 | FairnessLanguage Modeling | CodeCode Available | 1 | 5 |
| Better Understanding Differences in Attribution Methods via Systematic Evaluations | Mar 21, 2023 | Fairness | CodeCode Available | 1 | 5 |
| Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness | Jun 15, 2021 | counterfactualCounterfactual Inference | CodeCode Available | 1 | 5 |
| Controlling Fairness and Bias in Dynamic Learning-to-Rank | May 29, 2020 | ArticlesFairness | CodeCode Available | 1 | 5 |
| Federated Learning Meets Multi-objective Optimization | Jun 20, 2020 | FairnessFederated Learning | CodeCode Available | 1 | 5 |
| FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations | Apr 27, 2023 | Age/Bias-conflictingAge/Unbiased | CodeCode Available | 1 | 5 |
| Flames: Benchmarking Value Alignment of LLMs in Chinese | Nov 12, 2023 | BenchmarkingFairness | CodeCode Available | 1 | 5 |
| Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness | May 3, 2021 | Fairness | CodeCode Available | 1 | 5 |
| Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations | Jan 21, 2022 | FairnessRecommendation Systems | CodeCode Available | 1 | 5 |
| Bias in Machine Learning Software: Why? How? What to do? | May 25, 2021 | AttributeBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Bias Propagation in Federated Learning | Sep 5, 2023 | FairnessFederated Learning | CodeCode Available | 1 | 5 |
| BiasPruner: Debiased Continual Learning for Medical Image Classification | Jul 11, 2024 | ClassificationContinual Learning | CodeCode Available | 1 | 5 |
| Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs | Nov 8, 2023 | FairnessMath | CodeCode Available | 1 | 5 |
| Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values | Oct 4, 2021 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Collaborative Fairness in Federated Learning | Aug 27, 2020 | Collaborative FairnessFairness | CodeCode Available | 1 | 5 |
| Global Concept Explanations for Graphs by Contrastive Learning | Apr 25, 2024 | Contrastive LearningFairness | CodeCode Available | 1 | 5 |
| Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences | May 2, 2020 | FairnessGesture Recognition | CodeCode Available | 1 | 5 |
