| EiX-GNN : Concept-level eigencentrality explainer for graph neural networks | Jun 7, 2022 | FairnessTransfer Learning | CodeCode Available | 0 | 5 |
| Certified Defense on the Fairness of Graph Neural Networks | Nov 5, 2023 | FairnessGraph Learning | CodeCode Available | 0 | 5 |
| Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency | Jun 5, 2022 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Enhancing New-item Fairness in Dynamic Recommender Systems | Apr 30, 2025 | FairnessKnowledge Distillation | CodeCode Available | 0 | 5 |
| Efficient Estimation of Shortest-Path Distance Distributions to Samples in Graphs | Feb 21, 2025 | Fairness | CodeCode Available | 0 | 5 |
| Efficient Algorithms For Fair Clustering with a New Fairness Notion | Sep 2, 2021 | AttributeClustering | CodeCode Available | 0 | 5 |
| Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters | Jan 29, 2024 | FairnessRetrieval | CodeCode Available | 0 | 5 |
| Arbitrariness Lies Beyond the Fairness-Accuracy Frontier | Jun 15, 2023 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Towards Energy-Aware Federated Learning on Battery-Powered Clients | Aug 9, 2022 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| Equalized odds postprocessing under imperfect group information | Jun 7, 2019 | AttributeFairness | CodeCode Available | 0 | 5 |
| Policy Learning with Observational Data | Feb 9, 2017 | FairnessForm | CodeCode Available | 0 | 5 |
| DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy? | Jun 22, 2021 | Deep LearningFairness | CodeCode Available | 0 | 5 |
| Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness | May 21, 2020 | AttributeBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services | Mar 23, 2024 | FairnessQ-Learning | CodeCode Available | 0 | 5 |
| Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges | Feb 18, 2025 | ClusteringFairness | CodeCode Available | 0 | 5 |
| Federated Learning with Convex Global and Local Constraints | Oct 16, 2023 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| DPER: Dynamic Programming for Exist-Random Stochastic SAT | May 19, 2022 | Bayesian InferenceFairness | CodeCode Available | 0 | 5 |
| A Fair Post-Processing Method based on the MADD Metric for Predictive Student Models | Jul 7, 2024 | Fairness | CodeCode Available | 0 | 5 |
| A Reductions Approach to Fair Classification | Mar 6, 2018 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| A Fair Loss Function for Network Pruning | Nov 18, 2022 | FairnessLesion Classification | CodeCode Available | 0 | 5 |
| A Primal-Dual Subgradient Approachfor Fair Meta Learning | Sep 26, 2020 | FairnessFew-Shot Learning | CodeCode Available | 0 | 5 |
| Domain Adaptive Decision Trees: Implications for Accuracy and Fairness | Feb 27, 2023 | Domain AdaptationFairness | CodeCode Available | 0 | 5 |
| A Study of Implicit Ranking Unfairness in Large Language Models | Nov 13, 2023 | Data AugmentationFairness | CodeCode Available | 0 | 5 |
| Embracing Fairness in Consumer Electricity Markets using an Automatic Market Maker | Jul 30, 2024 | Fairness | CodeCode Available | 0 | 5 |
| HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation | May 16, 2025 | BenchmarkingEthics | CodeCode Available | 0 | 5 |
