SOTAVerified

Fairness

Papers

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Showing 2801–2850 of 5676 papers

TitleStatusHype
On Making Stochastic Classifiers Deterministic—0
On Measuring Fairness in Generative Models—0
On Mobility Equity and the Promise of Emerging Transportation Systems—0
On Penalization in Stochastic Multi-armed Bandits—0
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model—0
On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms—0
On Text-based Personality Computing: Challenges and Future Directions—0
On the Amplification of Linguistic Bias through Unintentional Self-reinforcement Learning by Generative Language Models -- A Perspective—0
On the Apparent Conflict Between Individual and Group Fairness—0
Machine learning fairness notions: Bridging the gap with real-world applications—0
End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning—0
Finding Representative Group Fairness Metrics Using Correlation Estimations—0
On the Complexity of Constrained Determinantal Point Processes—0
On the Complexity of Finding a Diverse and Representative Committee using a Monotone, Separable Positional Multiwinner Voting Rule—0
On the Consistency of Fairness Measurement Methods for Regression Tasks—0
On the contribution of pre-trained models to accuracy and utility in modeling distributed energy resources—0
On the Deployment of RIS-mounted UAV Networks—0
On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions—0
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models—0
On The Fairness Impacts of Hardware Selection in Machine Learning—0
On the Fairness Impacts of Private Ensembles Models—0
On the Fairness of Disentangled Representations—0
On the Fairness of 'Fake' Data in Legal AI—0
On the Fairness of Generative Adversarial Networks (GANs)—0
On the Fairness of Machine-Assisted Human Decisions—0
On the Fairness of Randomized Trials for Recommendation with Heterogeneous Demographics and Beyond—0
On the Fairness of Swarm Learning in Skin Lesion Classification—0
On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion—0
On the "Illusion" of Gender Bias in Face Recognition: Explaining the Fairness Issue Through Non-demographic Attributes—0
On the Impact of Data Quality on Image Classification Fairness—0
On the Impact of Device and Behavioral Heterogeneity in Federated Learning—0
Making Auctions Robust to Aftermarkets—0
On The Impact of Machine Learning Randomness on Group Fairness—0
On the Impact of Output Perturbation on Fairness in Binary Linear Classification—0
On the Impact of Random Seeds on the Fairness of Clinical Classifiers—0
On the impossibility of non-trivial accuracy under fairness constraints—0
On the Independence of Association Bias and Empirical Fairness in Language Models—0
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks—0
On the Interplay between Fairness and Explainability—0
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations—0
On the Legal Compatibility of Fairness Definitions—0
On the Limitations of Simulating Active Learning—0
On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations—0
On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit—0
On the merit principle in strategic exchange—0
On the Moral Justification of Statistical Parity—0
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis—0
On the Nonconvexity of Push-Forward Constraints and Its Consequences in Machine Learning—0
On the notion of Hallucinations from the lens of Bias and Validity in Synthetic CXR Images—0
On the Opportunities of Green Computing: A Survey—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