| Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity | May 30, 2022 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Towards Fair Graph Neural Networks via Graph Counterfactual without Sensitive Attributes | Dec 13, 2024 | Attributecounterfactual | —Unverified | 0 | 0 |
| Towards Fair Graph Representation Learning in Social Networks | Oct 15, 2024 | Data AugmentationFairness | —Unverified | 0 | 0 |
| Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation | Oct 23, 2020 | Domain AdaptationFairness | —Unverified | 0 | 0 |
| Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking | Feb 16, 2023 | Benchmarkingcounterfactual | —Unverified | 0 | 0 |
| Towards Fairness Assessment of Dutch Hate Speech Detection | Jun 14, 2025 | counterfactualFairness | —Unverified | 0 | 0 |
| Towards Fairness-aware Adversarial Network Pruning | Jan 1, 2023 | FairnessNetwork Pruning | —Unverified | 0 | 0 |
| Towards Fairness-Aware Multi-Objective Optimization | Jul 22, 2022 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| Towards Fairness Certification in Artificial Intelligence | Jun 4, 2021 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| Towards Fairness in AI for Melanoma Detection: Systemic Review and Recommendations | Nov 19, 2024 | Fairness | —Unverified | 0 | 0 |
