SOTAVerified

Fairness

Papers

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Showing 1651–1675 of 5676 papers

TitleStatusHype
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization—0
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models—0
An Empirical Analysis of Fairness Notions under Differential Privacy—0
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty—0
Evaluating AI fairness in credit scoring with the BRIO tool—0
End-to-End Optimization and Learning of Fair Court Schedules—0
Energy-Efficient Cell-Free Massive MIMO with Wireless Fronthaul—0
Energy Efficient Fair STAR-RIS for Mobile Users—0
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation—0
Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer—0
Enforcing Delayed-Impact Fairness Guarantees—0
Enforcing Equity in Neural Climate Emulators—0
Controllable Text Generation for Open-Domain Creativity and Fairness—0
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review—0
Bias, diversity, and challenges to fairness in classification and automated text analysis. From libraries to AI and back—0
Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules—0
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances—0
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness—0
Enhancements for Developing a Comprehensive AI Fairness Assessment Standard—0
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI—0
Understanding and Reducing the Class-Dependent Effects of Data Augmentation with A Two-Player Game Approach—0
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling—0
Balancing Efficiency and Equity in Classroom Assignment under Endogenous Peer Effects—0
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality—0
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems—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