SOTAVerified

Fairness

Papers

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Showing 4626–4650 of 5676 papers

TitleStatusHype
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences—0
Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability—0
Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools—0
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks—0
Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning—0
Bugs in Machine Learning-based Systems: A Faultload Benchmark—0
Building A Unified AI-centric Language System: analysis, framework and future work—0
Building Better Open-Source Tools to Support Fairness in Automated Scoring—0
Building Ethically Bounded AI—0
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks—0
Bundled School Choice—0
Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation—0
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning—0
CADS: Core-Aware Dynamic Scheduler for Multicore Memory Controllers—0
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement—0
Cali3F: Calibrated Fast Fair Federated Recommendation System—0
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees—0
Calibrated Fairness in Bandits—0
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank—0
Can Artificial Intelligence Embody Moral Values?—0
Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation—0
Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness?—0
Can everyday AI be ethical. Fairness of Machine Learning Algorithms—0
Can Evolutionary Clustering Have Theoretical Guarantees?—0
Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI—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