SOTAVerified

Fairness

Papers

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Showing 2051–2075 of 5676 papers

TitleStatusHype
Evaluating the Economic Implications of Using Machine Learning in Clinical Psychiatry—0
Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability—0
Evaluating Team Skill Aggregation in Online Competitive Games—0
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences—0
A note on the Diversity Owen values—0
Evaluating Search System Explainability with Psychometrics and Crowdsourcing—0
Evaluating Proposed Fairness Models for Face Recognition Algorithms—0
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks—0
Evaluating Machine Learning-based Skin Cancer Diagnosis—0
Evaluating LLMs for Gender Disparities in Notable Persons—0
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness—0
An Operational Perspective to Fairness Interventions: Where and How to Intervene—0
Adversarial Sampling for Fairness Testing in Deep Neural Network—0
A Comparison of Differential Performance Metrics for the Evaluation of Automatic Speaker Verification Fairness—0
Absolute Shapley Value—0
Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformity—0
Ontology of Belief Diversity: A Community-Based Epistemological Approach—0
Evaluating how LLM annotations represent diverse views on contentious topics—0
Evaluating Gender, Racial, and Age Biases in Large Language Models: A Comparative Analysis of Occupational and Crime Scenarios—0
Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models—0
Evaluating Gender Bias in Hindi-English Machine Translation—0
Bridging Human Concepts and Computer Vision for Explainable Face Verification—0
An investigation of structures responsible for gender bias in BERT and DistilBERT—0
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information—0
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning—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