SOTAVerified

Fairness

Papers

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Showing 2831–2840 of 5676 papers

TitleStatusHype
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
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All datasetsBAF – BaseBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VDiveFaceMORPHUTKFace

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