SOTAVerified

Fairness

Papers

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Showing 2851–2900 of 5676 papers

TitleStatusHype
EFX Allocations Exist for Binary Valuations—0
EiFFFeL: Enforcing Fairness in Forests by Flipping Leaves—0
ELAB: Extensive LLM Alignment Benchmark in Persian Language—0
Electricity grid tariffs for electrification in households: Bridging the gap between cross-subsidies and fairness—0
Electricity Tariff Design via Lens of Energy Justice—0
Eliminating Latent Discrimination: Train Then Mask—0
_p Testing and Learning of Discrete Distributions—0
Embedding Cultural Diversity in Prototype-based Recommender Systems—0
Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems—0
Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research—0
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs—0
Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI—0
Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning—0
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing—0
Enactive Artificial Intelligence: Subverting Gender Norms in Robot-Human Interaction—0
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization—0
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models—0
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty—0
End-to-end Learning for Fair Ranking Systems—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
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
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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