| Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift | Sep 19, 2024 | Fairness | —Unverified | 0 |
| Towards Unbiased Evaluation of Time-series Anomaly Detector | Sep 19, 2024 | Anomaly DetectionFairness | CodeCode Available | 0 |
| DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model | Sep 18, 2024 | Attributecounterfactual | —Unverified | 0 |
| A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs | Sep 18, 2024 | Conformal PredictionFairness | —Unverified | 0 |
| User Subgrouping and Power Control for Multicast Massive MIMO over Spatially Correlated Channels | Sep 18, 2024 | Fairness | —Unverified | 0 |
| SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration | Sep 17, 2024 | Benchmarkingcounterfactual | CodeCode Available | 0 |
| Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation | Sep 17, 2024 | FairnessRecommendation Systems | —Unverified | 0 |
| Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools | Sep 17, 2024 | Decision MakingFairness | —Unverified | 0 |
| A Deep Learning Approach for User-Centric Clustering in Cell-Free Massive MIMO Systems | Sep 17, 2024 | Fairness | —Unverified | 0 |
| OATH: Efficient and Flexible Zero-Knowledge Proofs of End-to-End ML Fairness | Sep 17, 2024 | Fairness | —Unverified | 0 |
| Fair Anomaly Detection For Imbalanced Groups | Sep 17, 2024 | Anomaly DetectionContrastive Learning | —Unverified | 0 |
| Unveiling and Mitigating Bias in Large Language Model Recommendations: A Path to Fairness | Sep 17, 2024 | FairnessLanguage Modeling | —Unverified | 0 |
| Fairness, not Emotion, Drives Socioeconomic Decision Making | Sep 16, 2024 | ClusteringDecision Making | —Unverified | 0 |
| A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach | Sep 16, 2024 | AttributeFairness | —Unverified | 0 |
| Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models | Sep 15, 2024 | DiversityFairness | —Unverified | 0 |
| A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View | Sep 15, 2024 | FairnessOut-of-Distribution Generalization | —Unverified | 0 |
| Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning | Sep 14, 2024 | Bilevel OptimizationDistributed Computing | —Unverified | 0 |
| LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels | Sep 14, 2024 | AttributeFace Recognition | —Unverified | 0 |
| Batched Online Contextual Sparse Bandits with Sequential Inclusion of Features | Sep 13, 2024 | Decision MakingFairness | —Unverified | 0 |
| Enhancing transparency in AI-powered customer engagement | Sep 13, 2024 | Decision MakingFairness | —Unverified | 0 |
| Fair CoVariance Neural Networks | Sep 13, 2024 | Fairness | —Unverified | 0 |
| Promoting Fairness in Link Prediction with Graph Enhancement | Sep 13, 2024 | FairnessLink Prediction | —Unverified | 0 |
| Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning | Sep 12, 2024 | BenchmarkingFairness | —Unverified | 0 |
| SIG: A Synthetic Identity Generation Pipeline for Generating Evaluation Datasets for Face Recognition | Sep 12, 2024 | Face RecognitionFairness | —Unverified | 0 |
| Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation | Sep 11, 2024 | Bias DetectionFairness | —Unverified | 0 |