| Towards Equalised Odds as Fairness Metric in Academic Performance Prediction | Sep 29, 2022 | Fairness | —Unverified | 0 | 0 |
| Towards Equal Opportunity Fairness through Adversarial Learning | Jan 16, 2022 | Fairness | —Unverified | 0 | 0 |
| Towards Equitable Agile Research and Development of AI and Robotics | Feb 13, 2024 | Fairness | —Unverified | 0 | 0 |
| Towards Equitable Rail Service Allocation Through Fairness-Oriented Timetabling in Liberalized Markets | Apr 24, 2025 | Fairness | —Unverified | 0 | 0 |
| Towards Equity and Algorithmic Fairness in Student Grade Prediction | May 14, 2021 | FairnessPrediction | —Unverified | 0 | 0 |
| Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset | Feb 26, 2024 | BenchmarkingCross-Lingual Transfer | —Unverified | 0 | 0 |
| Towards Explainable Doctor Recommendation with Large Language Models | Mar 4, 2025 | FairnessLarge Language Model | —Unverified | 0 | 0 |
| Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition | Mar 15, 2021 | Continual LearningFacial Expression Recognition | —Unverified | 0 | 0 |
| Towards Fair and Calibrated Models | Oct 16, 2023 | Fairness | —Unverified | 0 | 0 |
| Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach | Feb 6, 2025 | Face GenerationFace Parsing | —Unverified | 0 | 0 |
| 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 |
| 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 |
