| Statistical inference for individual fairness | Mar 30, 2021 | Adversarial AttackFairness | CodeCode Available | 0 |
| A New Perspective to Boost Performance Fairness for Medical Federated Learning | Oct 12, 2024 | FairnessFederated Learning | CodeCode Available | 0 |
| Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency | Jan 19, 2024 | Collaborative FilteringFairness | CodeCode Available | 0 |
| DeBayes: a Bayesian Method for Debiasing Network Embeddings | Feb 26, 2020 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 |
| The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer | Mar 2, 2021 | FairnessGraph Embedding | CodeCode Available | 0 |
| Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis | May 10, 2024 | Decision MakingFairness | CodeCode Available | 0 |
| DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language Models | Oct 22, 2024 | Fairness | CodeCode Available | 0 |
| When is Multicalibration Post-Processing Necessary? | Jun 10, 2024 | Fairness | CodeCode Available | 0 |
| When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness | Feb 14, 2023 | FairnessModel Selection | CodeCode Available | 0 |
| On Structural Explanation of Bias in Graph Neural Networks | Jun 24, 2022 | Decision MakingFairness | CodeCode Available | 0 |
| On Comparing Fair Classifiers under Data Bias | Feb 12, 2023 | FairnessMarketing | CodeCode Available | 0 |
| Fairness-Enhancing Ensemble Classification in Water Distribution Networks | Oct 17, 2024 | ClassificationFairness | CodeCode Available | 0 |
| Reducing Popularity Bias in Recommender Systems through AUC-Optimal Negative Sampling | Jun 2, 2023 | FairnessRecommendation Systems | CodeCode Available | 0 |
| StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes | May 27, 2022 | Fairnessgraph construction | CodeCode Available | 0 |
| KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning | Sep 19, 2023 | Face VerificationFairness | CodeCode Available | 0 |
| DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer Learning | Sep 30, 2024 | DiversityDomain Adaptation | CodeCode Available | 0 |
| Addressing multiple metrics of group fairness in data-driven decision making | Mar 10, 2020 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 |
| KL Divergence Estimation with Multi-group Attribution | Feb 28, 2022 | Fairness | CodeCode Available | 0 |
| An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognition | Sep 2, 2023 | AnatomyBinary Classification | CodeCode Available | 0 |
| Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation | Sep 11, 2024 | FairnessImputation | CodeCode Available | 0 |
| What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning | Apr 16, 2024 | Attributecounterfactual | CodeCode Available | 0 |
| A New Notion of Individually Fair Clustering: α-Equitable k-Center | Jun 9, 2021 | ClusteringFairness | CodeCode Available | 0 |
| Transport-based Counterfactual Models | Aug 30, 2021 | Causal Inferencecounterfactual | CodeCode Available | 0 |
| Data Stream Sampling with Fuzzy Task Boundaries and Noisy Labels | Apr 7, 2024 | Continual LearningFairness | CodeCode Available | 0 |
| Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation | Feb 13, 2025 | FairnessRecommendation Systems | CodeCode Available | 0 |
