| Measuring Self-Preferencing on Digital Platforms | Mar 27, 2023 | Fairness | —Unverified | 0 |
| Cross-utterance ASR Rescoring with Graph-based Label Propagation | Mar 27, 2023 | FairnessLanguage Modeling | —Unverified | 0 |
| Zero-shot Model Diagnosis | Mar 27, 2023 | counterfactualFairness | —Unverified | 0 |
| FairGAT: Fairness-aware Graph Attention Networks | Mar 26, 2023 | FairnessGraph Attention | —Unverified | 0 |
| Achieving Counterfactual Fairness with Imperfect Structural Causal Model | Mar 26, 2023 | counterfactualCounterfactual Inference | CodeCode Available | 0 |
| CFA: Class-wise Calibrated Fair Adversarial Training | Mar 25, 2023 | Adversarial RobustnessFairness | CodeCode Available | 1 |
| Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics | Mar 25, 2023 | Domain AdaptationFairness | CodeCode Available | 0 |
| Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems | Mar 25, 2023 | FairnessVocal Bursts Valence Prediction | CodeCode Available | 0 |
| Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint | Mar 24, 2023 | Fairness | —Unverified | 0 |
| Fairness-guided Few-shot Prompting for Large Language Models | Mar 23, 2023 | FairnessIn-Context Learning | —Unverified | 0 |
| Semantic Image Attack for Visual Model Diagnosis | Mar 23, 2023 | Adversarial AttackAttribute | —Unverified | 0 |
| Fairness: from the ethical principle to the practice of Machine Learning development as an ongoing agreement with stakeholders | Mar 22, 2023 | Decision MakingFairness | —Unverified | 0 |
| HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach | Mar 22, 2023 | Deep Reinforcement LearningFairness | —Unverified | 0 |
| Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds | Mar 22, 2023 | ClassificationFairness | CodeCode Available | 1 |
| Fairness Improves Learning from Noisily Labeled Long-Tailed Data | Mar 22, 2023 | Fairness | —Unverified | 0 |
| Better Understanding Differences in Attribution Methods via Systematic Evaluations | Mar 21, 2023 | Fairness | CodeCode Available | 1 |
| Counterfactually Fair Regression with Double Machine Learning | Mar 21, 2023 | Causal Inferencecounterfactual | —Unverified | 0 |
| Bias mitigation techniques in image classification: fair machine learning in human heritage collections | Mar 20, 2023 | FairnessGender Classification | —Unverified | 0 |
| Fairness-Aware Graph Filter Design | Mar 20, 2023 | Decision MakingFairness | —Unverified | 0 |
| Bridging the Global Divide in AI Regulation: A Proposal for a Contextual, Coherent, and Commensurable Framework | Mar 20, 2023 | EthicsFairness | —Unverified | 0 |
| PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients | Mar 19, 2023 | FairnessFederated Learning | CodeCode Available | 1 |
| Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models | Mar 19, 2023 | AttributeFairness | CodeCode Available | 0 |
| DeAR: Debiasing Vision-Language Models with Additive Residuals | Mar 18, 2023 | AttributeBenchmarking | —Unverified | 0 |
| Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness | Mar 16, 2023 | Fairness | —Unverified | 0 |
| Fairness-aware Differentially Private Collaborative Filtering | Mar 16, 2023 | Collaborative FilteringFairness | —Unverified | 0 |