SOTAVerified

Fairness

Papers

Showing 526550 of 5676 papers

TitleStatusHype
Embracing Fairness in Consumer Electricity Markets using an Automatic Market MakerCode0
Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering SystemsCode0
Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I NetworksCode0
Enhancing Model Robustness and Fairness with Causality: A Regularization ApproachCode0
Certified Defense on the Fairness of Graph Neural NetworksCode0
Efficient Task-Specific Data Valuation for Nearest Neighbor AlgorithmsCode0
EiX-GNN : Concept-level eigencentrality explainer for graph neural networksCode0
An Algorithmic Framework for Fairness ElicitationCode0
Finding Counterfactual Evidences for Node ClassificationCode0
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender SystemsCode0
Efficient Estimation of Shortest-Path Distance Distributions to Samples in GraphsCode0
Policy Learning with Observational DataCode0
Enhancing New-item Fairness in Dynamic Recommender SystemsCode0
Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied EdgesCode0
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning ClassifiersCode0
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate AdaptersCode0
Towards Energy-Aware Federated Learning on Battery-Powered ClientsCode0
Equalized odds postprocessing under imperfect group informationCode0
AequeVox: Automated Fairness Testing of Speech Recognition SystemsCode0
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated LearningCode0
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision MakingCode0
Domain Adaptive Decision Trees: Implications for Accuracy and FairnessCode0
Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model FairnessCode0
A Study of Implicit Ranking Unfairness in Large Language ModelsCode0
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation SystemsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.86Unverified
21D-CSNNPredictive Equality (age)97.8Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)96.87Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.97Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.45Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.68Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.31Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)0.49Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)6.26Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)1.96Unverified