| Towards Fair Classification against Poisoning Attacks | Oct 18, 2022 | ClassificationFairness | —Unverified | 0 | 0 |
| Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training | Jan 8, 2025 | Fairness | —Unverified | 0 | 0 |
| Towards Fair Conversational Recommender Systems | Aug 8, 2022 | FairnessRecommendation Systems | —Unverified | 0 | 0 |
| Towards Fair Deep Anomaly Detection | Dec 29, 2020 | Anomaly DetectionFairness | —Unverified | 0 | 0 |
| Towards Fair Deep Clustering With Multi-State Protected Variables | Jan 29, 2019 | AttributeClustering | —Unverified | 0 | 0 |
| Towards Fair Disentangled Online Learning for Changing Environments | May 31, 2023 | Fairness | —Unverified | 0 | 0 |
| Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models | Feb 9, 2023 | Computational EfficiencyFairness | —Unverified | 0 | 0 |
| Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation | Sep 11, 2024 | Bias DetectionFairness | —Unverified | 0 | 0 |
| Towards Fair Face Verification: An In-depth Analysis of Demographic Biases | Jul 19, 2023 | Face RecognitionFace Verification | —Unverified | 0 | 0 |
| Towards Fair Federated Learning with Zero-Shot Data Augmentation | Apr 27, 2021 | Data AugmentationFairness | —Unverified | 0 | 0 |
