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Fairness

Papers

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Showing 2901–2950 of 5676 papers

TitleStatusHype
What's the Problem, Linda? The Conjunction Fallacy as a Fairness Problem—0
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness—0
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive MapsCode0
Attention-based QoE-aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality—0
Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark DatasetsCode0
Private Training Set Inspection in MLaaS—0
Data Bias Management—0
Parameterized Approximation for Robust Clustering in Discrete Geometric Spaces—0
Rate-Splitting Multiple Access: The First Prototype and Experimental Validation of its Superiority over SDMA and NOMA—0
Learn to Unlearn: A Survey on Machine Unlearning—0
A statistical approach to detect sensitive features in a group fairness setting—0
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges—0
Fairness in Machine Learning meets with Equity in Healthcare—0
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making SystemsCode0
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy—0
GPT in Game Theory Experiments—0
The Role of Relevance in Fair RankingCode0
Towards unraveling calibration biases in medical image analysis—0
MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization—0
Runtime Monitoring of Dynamic Fairness Properties—0
Distribution-aware Fairness Test GenerationCode0
First-Choice Maximality Meets Ex-ante and Ex-post Fairness—0
Rethinking Class Imbalance in Machine Learning—0
Fairness in Image Search: A Study of Occupational Stereotyping in Image Retrieval and its DebiasingCode0
Mining bias-target Alignment from Voronoi CellsCode0
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree—0
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness—0
Distributing Synergy Functions: Unifying Game-Theoretic Interaction Methods for Machine-Learning Explainability—0
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data SubpopulationsCode0
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A Case Study of Automated Video Interviews—0
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank—0
MLHOps: Machine Learning for Healthcare Operations—0
Deep Learning Aided Beamforming for Downlink Non-Orthogonal Multiple Access Systems—0
Explaining Language Models' Predictions with High-Impact Concepts—0
Fairness in AI Systems: Mitigating gender bias from language-vision models—0
Maximizing Submodular Functions for Recommendation in the Presence of BiasesCode0
fairml: A Statistician's Take on Fair Machine Learning Modelling—0
Multidimensional Fairness in Paper Recommendation—0
On the Impact of Data Quality on Image Classification Fairness—0
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation—0
Are demographically invariant models and representations in medical imaging fair?—0
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy—0
Non-Orthogonal Multiple Access Assisted by Reconfigurable Intelligent Surface Using Unsupervised Machine LearningCode0
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and EquityCode0
Learning to Re-rank with Constrained Meta-Optimal Transport—0
Visualizing chest X-ray dataset biases using GANs—0
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning—0
Social Preferences and Deliberately Stochastic Behavior—0
How to address monotonicity for model risk management?—0
A Federated Reinforcement Learning Framework for Link Activation in Multi-link Wi-Fi Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.86—Unverified
21D-CSNNPredictive Equality (age)97.8—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)96.87—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.97—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.45—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.68—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.31—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)6.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)1.96—Unverified