SOTAVerified

Fairness

Papers

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Showing 1626–1650 of 5676 papers

TitleStatusHype
Privacy-preserving gradient-based fair federated learning—0
A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence—0
Mutual Information Guided Optimal Transport for Unsupervised Visible-Infrared Person Re-identification—0
The Better Angels of Machine Personality: How Personality Relates to LLM SafetyCode0
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer ProblemsCode0
A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos—0
Are Linear Regression Models White Box and Interpretable?—0
Fairly Accurate: Optimizing Accuracy Parity in Fair Target-Group Detection—0
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders—0
A Benchmark for Fairness-Aware Graph Learning—0
Balancing the Scales: Reinforcement Learning for Fair ClassificationCode0
Mechanistic interpretability of large language models with applications to the financial services industry—0
A Survey of Defenses against AI-generated Visual Media: Detection, Disruption, and Authentication—0
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification—0
Toward Automatic Group Membership Annotation for Group Fairness Evaluation—0
Open (Clinical) LLMs are Sensitive to Instruction PhrasingsCode0
Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review—0
Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias ElicitationCode0
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization—0
fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations—0
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers—0
The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing—0
Disentangled Representation Learning with the Gromov-Monge Gap—0
High-Precision, Fair University Course Scheduling During a Pandemic—0
Instrumentation and Analysis of Native ML Pipelines via Logical Query Plans—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