SOTAVerified

Fairness

Papers

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Showing 4276–4300 of 5676 papers

TitleStatusHype
Minimax Group Fairness in Strategic Classification—0
Mirror Prox Algorithm for Large-Scale Cell-Free Massive MIMO Uplink Power Control—0
MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models—0
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning—0
Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling—0
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning—0
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization—0
Mitigating Bias in Federated Learning—0
Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org—0
Mitigating Bias in Visual Transformers via Targeted Alignment—0
Mitigating Bias Using Model-Agnostic Data Attribution—0
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis—0
Mitigating Degree Bias in Signed Graph Neural Networks—0
Differentially Private Clustered Federated Learning—0
Mitigating federated learning contribution allocation instability through randomized aggregation—0
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders—0
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal—0
Mitigating Gender Bias in Machine Learning Data Sets—0
Mitigating Group Bias in Federated Learning for Heterogeneous Devices—0
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models—0
Mitigating Health Disparities in EHR via Deconfounder—0
A Machine Learning Model for Predicting, Diagnosing, and Mitigating Health Disparities in Hospital Readmission—0
A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder—0
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning—0
Mitigating Label Bias via Decoupled Confident 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