SOTAVerified

Fairness

Papers

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Showing 2351–2375 of 5676 papers

TitleStatusHype
Fairness-guided Few-shot Prompting for Large Language Models—0
Fairness-guided SMT-based Rectification of Decision Trees and Random Forests—0
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms—0
Fairness Hub Technical Briefs: AUC Gap—0
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift—0
Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms—0
Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making—0
Fairness Improves Learning from Noisily Labeled Long-Tailed Data—0
Individual Fairness in Advertising Auctions through Inverse Proportionality—0
Fairness in AI and Its Long-Term Implications on Society—0
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning—0
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality—0
Collective decisions under uncertainty: efficiency, ex-ante fairness, and normalization—0
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity—0
Fairly Allocating Utility in Constrained Multiwinner Elections—0
Fairness in Biometrics: a figure of merit to assess biometric verification systems—0
Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation—0
Fairness Incentives in Response to Unfair Dynamic Pricing—0
Fairly Adaptive Negative Sampling for Recommendations—0
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results—0
Aggregating Concepts of Accuracy and Fairness in Prediction Algorithms—0
Fairness of Exposure in Dynamic Recommendation—0
Fairly Accurate: Optimizing Accuracy Parity in Fair Target-Group Detection—0
Fairness in Deep Learning: A Computational Perspective—0
Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection—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