SOTAVerified

Fairness

Papers

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Showing 5151–5175 of 5676 papers

TitleStatusHype
Enforcing fairness in private federated learning via the modified method of differential multipliers—0
Enforcing Fairness Where It Matters: An Approach Based on Difference-of-Convex Constraints—0
Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules—0
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances—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
Travel Demand Forecasting: A Fair AI Approach—0
Learning Fairer Representations with FairVIC—0
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule—0
Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation—0
Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering—0
Enhancing kidney transplantation through multi-agent kidney exchange programs: A comprehensive review and optimization models—0
Enhancing Logical Reasoning in Large Language Models to Facilitate Legal Applications—0
Enhancing Model Fairness and Accuracy with Similarity Networks: A Methodological Approach—0
Enhancing Multi-Attribute Fairness in Healthcare Predictive Modeling—0
Enhancing Recommender System Performance by Histogram Equalization—0
Enhancing Security and Strengthening Defenses in Automated Short-Answer Grading Systems—0
Enhancing the Fairness and Performance of Edge Cameras with Explainable AI—0
Enhancing transparency in AI-powered customer engagement—0
Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMs—0
Enhancing Trust Through Standards: A Comparative Risk-Impact Framework for Aligning ISO AI Standards with Global Ethical and Regulatory Contexts—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