SOTAVerified

Fairness

Papers

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Showing 4776–4800 of 5676 papers

TitleStatusHype
A General Framework for Fairness in Multistakeholder Recommendations—0
Fair and Useful Cohort Selection—0
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute InformationCode1
Fairness in the Eyes of the Data: Certifying Machine-Learning Models—0
FairXGBoost: Fairness-aware Classification in XGBoost—0
Comparing Fair Ranking Metrics—0
Initial Classifier Weights Replay for Memoryless Class Incremental Learning—0
Adversarial Learning for Counterfactual FairnessCode0
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep LearningCode1
Collaborative Fairness in Federated LearningCode1
Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Conformal Prediction Sets—0
The Fairness-Accuracy Pareto Front—0
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing—0
Improving Fair Predictions Using Variational Inference In Causal ModelsCode0
FairFly: A Fair Motion Planner for Fleets of Autonomous UAVs in Urban Airspace—0
Beyond Individual and Group Fairness—0
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation—0
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted RewardsCode0
Analysing a built-in advantage in asymmetric darts contests using causal machine learning—0
LiFT: A Scalable Framework for Measuring Fairness in ML Applications—0
WAFFLe: Weight Anonymized Factorization for Federated Learning—0
Rate-Splitting Multiple Access for Multigroup Multicast and Multibeam Satellite Systems—0
Null-sampling for Interpretable and Fair RepresentationsCode0
Joint Bandwidth Allocation and Path Selection in WANs with Path Cardinality Constraints—0
Risk-Sensitive Markov Decision Processes with Combined Metrics of Mean and Variance—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