SOTAVerified

Fairness

Papers

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Showing 1676–1700 of 5676 papers

TitleStatusHype
Learning Fairer Representations with FairVIC—0
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models—0
Achieving Proportionality up to the Maximin Item with Indivisible Goods—0
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule—0
Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation—0
Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering—0
An Empirical Study of Modular Bias Mitigators and Ensembles—0
Enhancing kidney transplantation through multi-agent kidney exchange programs: A comprehensive review and optimization models—0
Controllable Text Generation for Open-Domain Creativity and Fairness—0
Enhancing Logical Reasoning in Large Language Models to Facilitate Legal Applications—0
Enhancing Model Fairness and Accuracy with Similarity Networks: A Methodological Approach—0
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation—0
Enhancing Multi-Attribute Fairness in Healthcare Predictive Modeling—0
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review—0
Enhancing Recommender System Performance by Histogram Equalization—0
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training—0
Enhancing Security and Strengthening Defenses in Automated Short-Answer Grading Systems—0
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems—0
Bias in Unsupervised Anomaly Detection in Brain MRI—0
Enhancing the Fairness and Performance of Edge Cameras with Explainable AI—0
Enhancing transparency in AI-powered customer engagement—0
Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMs—0
Enhancing Trust Through Standards: A Comparative Risk-Impact Framework for Aligning ISO AI Standards with Global Ethical and Regulatory Contexts—0
FairCal: Fairness Calibration for Face Verification—0
Towards Fairness-Aware Federated 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