SOTAVerified

Fairness

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–500 of 5676 papers

TitleStatusHype
Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement LearningCode1
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-LearningCode1
Societal Biases in Language Generation: Progress and ChallengesCode1
SOCRATES: Towards a Unified Platform for Neural Network AnalysisCode1
Analyzing Fairness in Deepfake Detection With Massively Annotated DatabasesCode1
SurvivalGAN: Generating Time-to-Event Data for Survival AnalysisCode1
Aequitas: A Bias and Fairness Audit ToolkitCode1
AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor ModelsCode1
Augmentations in Hypergraph Contrastive Learning: Fabricated and GenerativeCode1
AutoBalance: Optimized Loss Functions for Imbalanced DataCode1
Teaching Software Engineering for AI-Enabled SystemsCode1
Attack of the Tails: Yes, You Really Can Backdoor Federated LearningCode1
Astraea: Grammar-based Fairness TestingCode1
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender SystemsCode1
Fair Attribute Classification through Latent Space De-biasingCode1
A Framework for Fairer Machine Learning in Organizations—0
A Conceptual Framework for Ethical Evaluation of Machine Learning Systems—0
A Catalog of Fairness-Aware Practices in Machine Learning Engineering—0
A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches—0
A fixed point approach for computing actuarially fair Pareto optimal risk-sharing rules—0
A Uniform Concentration Inequality for Kernel-Based Two-Sample Statistics—0
EMO-Debias: Benchmarking Gender Debiasing Techniques in Multi-Label Speech Emotion Recognition—0
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness—0
A Federated Reinforcement Learning Framework for Link Activation in Multi-link Wi-Fi Networks—0
A Computational Approach to Improving Fairness in K-means Clustering—0
AFed: Algorithmic Fair Federated Learning—0
A Fair Pricing Model via Adversarial Learning—0
A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence—0
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs—0
A Systems Thinking Approach to Algorithmic Fairness—0
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results—0
α-Fairness User Pairing for Downlink NOMA Systems with Imperfect Successive Interference Cancellation—0
A Systematic Approach to Group Fairness in Automated Decision Making—0
An Equity-Aware Recommender System for Curating Art Exhibits Based on Locally-Constrained Graph Matching—0
Are Big Recommendation Models Fair to Cold Users?—0
A Comprehensive Survey on Trustworthy Recommender Systems—0
A Fairness-Driven Method for Learning Human-Compatible Negotiation Strategies—0
A Rate-Splitting Strategy to Enable Joint Radar Sensing and Communication with Partial CSIT—0
A Capabilities Approach to Studying Bias and Harm in Language Technologies—0
A Survey on Trustworthy Recommender Systems—0
Are Commercial Face Detection Models as Biased as Academic Models?—0
Are Conventional SNNs Really Efficient? A Perspective from Network Quantization—0
Are demographically invariant models and representations in medical imaging fair?—0
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability—0
Are Elites Meritocratic and Efficiency-Seeking? Evidence from MBA Students—0
Are fairness metric scores enough to assess discrimination biases in machine learning?—0
Are Fairness Perceptions Shaped by Income Inequality? Evidence from Latin America—0
Are generative models fair? A study of racial bias in dermatological image generation—0
A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints—0
A Systematic Literature Review on Client Selection in Federated Learning—0
Show:102550
← PrevPage 10 of 114Next →
All datasetsBAF – BaseBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VDiveFaceMORPHUTKFace

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