SOTAVerified

Fairness

Papers

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Showing 2601–2625 of 5676 papers

TitleStatusHype
UP5: Unbiased Foundation Model for Fairness-aware RecommendationCode0
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning MethodsCode0
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing—0
Trustworthy Federated Learning: A Survey—0
On the Fairness Impacts of Private Ensembles Models—0
Comparing Software Developers with ChatGPT: An Empirical Investigation—0
In the Name of Fairness: Assessing the Bias in Clinical Record De-identificationCode0
Comparing Biases and the Impact of Multilingual Training across Multiple Languages—0
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting ModelCode0
RobustFair: Adversarial Evaluation through Fairness Confusion Directed Gradient SearchCode0
Prevention is better than cure: a case study of the abnormalities detection in the chest—0
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation—0
BAD: BiAs Detection for Large Language Models in the context of candidate screeningCode1
Mitigating Group Bias in Federated Learning: Beyond Local FairnessCode0
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive MapsCode0
Fairness and Diversity in Information Access Systems—0
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation—0
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness—0
What's the Problem, Linda? The Conjunction Fallacy as a Fairness Problem—0
Data Bias Management—0
Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark DatasetsCode0
Private Training Set Inspection in MLaaS—0
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsCode1
Attention-based QoE-aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality—0
Rate-Splitting Multiple Access: The First Prototype and Experimental Validation of its Superiority over SDMA and NOMA—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