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Fairness

Papers

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Showing 2201–2250 of 5676 papers

TitleStatusHype
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification—0
Advancing Fairness in Natural Language Processing: From Traditional Methods to Explainability—0
Enhancing Model Fairness and Accuracy with Similarity Networks: A Methodological Approach—0
Enhancing Logical Reasoning in Large Language Models to Facilitate Legal Applications—0
Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for Equitable Skin Analysis—0
Enhancing kidney transplantation through multi-agent kidney exchange programs: A comprehensive review and optimization models—0
Bias in AI-systems: A multi-step approach—0
Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering—0
Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation—0
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule—0
BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models—0
An Empirical Study of Modular Bias Mitigators and Ensembles—0
Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations—0
Achieving Transparency Report Privacy in Linear Time—0
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models—0
Learning Fairer Representations with FairVIC—0
Travel Demand Forecasting: A Fair AI Approach—0
Bias, Fairness, and Accountability with AI and ML Algorithms—0
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality—0
Balancing Efficiency and Equity in Classroom Assignment under Endogenous Peer Effects—0
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling—0
Understanding and Reducing the Class-Dependent Effects of Data Augmentation with A Two-Player Game Approach—0
Biases in Expected Goals Models Confound Finishing Ability—0
Biases in Edge Language Models: Detection, Analysis, and Mitigation—0
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI—0
Enhancements for Developing a Comprehensive AI Fairness Assessment Standard—0
Biased Models Have Biased Explanations—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
Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules—0
Enforcing Fairness Where It Matters: An Approach Based on Difference-of-Convex Constraints—0
Enforcing fairness in private federated learning via the modified method of differential multipliers—0
Bias, diversity, and challenges to fairness in classification and automated text analysis. From libraries to AI and back—0
An Empirical Investigation of Learning from Biased Toxicity Labels—0
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
Achieving Proportionality up to the Maximin Item with Indivisible Goods—0
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)—0
Fairness-aware Anomaly Detection via Fair Projection—0
Enforcing Equity in Neural Climate Emulators—0
Enforcing Delayed-Impact Fairness Guarantees—0
Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer—0
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation—0
Bias Discovery in Machine Learning Models for Mental Health—0
Energy Efficient Fair STAR-RIS for Mobile Users—0
Energy-Efficient Cell-Free Massive MIMO with Wireless Fronthaul—0
End-to-End Optimization and Learning of Fair Court Schedules—0
End-to-end Learning for Fair Ranking Systems—0
Bias Beyond English: Evaluating Social Bias and Debiasing Methods in a Low-Resource Setting—0
Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models—0
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty—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