SOTAVerified

Fairness

Papers

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Showing 626–650 of 5676 papers

TitleStatusHype
Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations—0
An Empirical Study of Modular Bias Mitigators and Ensembles—0
Achieving Transparency Report Privacy in Linear Time—0
Achieving Proportionality up to the Maximin Item with Indivisible Goods—0
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)—0
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness—0
An Empirical Investigation of Learning from Biased Toxicity Labels—0
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models—0
Best Arm Identification with Fairness Constraints on Subpopulations—0
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs—0
Beyond Detection: Designing AI-Resilient Assessments with Automated Feedback Tool to Foster Critical Thinking—0
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning—0
BenchmarkCards: Large Language Model and Risk Reporting—0
An Empirical Analysis of Fairness Notions under Differential Privacy—0
An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low Regret—0
A Distributionally Robust Optimisation Approach to Fair Credit Scoring—0
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee—0
An Effective, Robust and Fairness-aware Hate Speech Detection Framework—0
A Distributionally Robust Approach to Fair Classification—0
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation—0
Achieving Long-term Fairness in Submodular Maximization through Randomization—0
Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals—0
Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set—0
Benchmarking Bias in Large Language Models during Role-Playing—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