SOTAVerified

Fairness

Papers

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Showing 5001–5025 of 5676 papers

TitleStatusHype
Differentially Private Fair Learning—0
Differentially Private Tabular Data Synthesis using Large Language Models—0
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey—0
Differential privacy enables fair and accurate AI-based analysis of speech disorders while protecting patient data—0
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models—0
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks—0
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models—0
Digital Ethics in Federated Learning—0
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks—0
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness—0
Diminishing Stereotype Bias in Image Generation Model using Reinforcemenlent Learning Feedback—0
DiRe Committee : Diversity and Representation Constraints in Multiwinner Elections—0
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation—0
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data—0
α-Discounting Multi-Criteria Decision Making (α-D MCDM)—0
Discovery of Bias and Strategic Behavior in Crowdsourced Performance Assessment—0
Discrimination and Class Imbalance Aware Online Naive Bayes—0
Discrimination-free Insurance Pricing with Privatized Sensitive Attributes—0
Avoiding Disparity Amplification under Different Worldviews—0
Discriminatory Transfer—0
Discussion about Attacks and Defenses for Fair and Robust Recommendation System Design—0
Disentangled Representation Learning with the Gromov-Monge Gap—0
Disentangled Representations from Non-Disentangled Models—0
Disentangled Representation with Causal Constraints for Counterfactual Fairness—0
Disentangling and Operationalizing AI Fairness at LinkedIn—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