SOTAVerified

Fairness

Papers

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Showing 2851–2875 of 5676 papers

TitleStatusHype
Emerging Synergies in Causality and Deep Generative Models: A Survey—0
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation—0
On the Power of Randomization in Fair Classification and Representation—0
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning—0
On the relation between accuracy and fairness in binary classification—0
On the Relationship Between Explanations, Fairness Perceptions, and Decisions—0
Mitigating fairwashing using Two-Source Audits—0
On the Reliability of Test Collections for Evaluating Systems of Different Types—0
On the Richness of Calibration—0
On the Sum Rate and User Fairness of STAR-RIS Aided Communications—0
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook—0
On the Vulnerability of Fairness Constrained Learning to Malicious Noise—0
Ontologies for increasing the FAIRness of plant research data—0
Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications—0
Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next—0
OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning—0
Open Long-Tailed Recognition in a Dynamic World—0
Open Conversational LLMs do not know most Spanish words—0
Operationalising Rawlsian Ethics for Fairness in Norm-Learning Agents—0
Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible AI Engineering Approach—0
Operationalizing Individual Fairness with Pairwise Fair Representations—0
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers—0
Opportunistic Multi-aspect Fairness through Personalized Re-ranking—0
OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning—0
Near-Optimal Algorithms for Group Distributionally Robust Optimization and Beyond—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