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Fairness

Papers

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Showing 3801–3850 of 5676 papers

TitleStatusHype
Uncertainty-Aware Fairness-Adaptive Classification Trees—0
Uncertainty-aware predictive modeling for fair data-driven decisions—0
Uncertainty-based Fairness Measures—0
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations—0
Uncovering Bias in Face Generation Models—0
Uncovering Fairness through Data Complexity as an Early Indicator—0
Undergraduate Course Allocation through Competitive Markets—0
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction—0
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics—0
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning—0
Understanding and Mitigating Multi-Sided Exposure Bias in Recommender Systems—0
Understanding and Mitigating Risks of Generative AI in Financial Services—0
Understanding and Mitigating the Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks—0
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness—0
Understanding Decision Subjects' Engagement with and Perceived Fairness of AI Models When Opportunities of Qualification Improvement Exist—0
Understanding EFX Allocations: Counting and Variants—0
Understanding Fairness in Recommender Systems: A Healthcare Perspective—0
Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups—0
Understanding Gender and Racial Disparities in Image Recognition Models—0
Understanding Intrinsic Socioeconomic Biases in Large Language Models—0
Understanding Overfitting in Reweighting Algorithms for Worst-group Performance—0
Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization—0
Understanding Prediction Discrepancies in Machine Learning Classifiers—0
Understanding the robustness-accuracy tradeoff by rethinking robust fairness—0
Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management—0
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions—0
On the Cause of Unfairness: A Training Sample Perspective—0
Under the Radar -- Auditing Fairness in ML for Humanitarian Mapping—0
Unfair Exposure of Artists in Music Recommendation—0
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents—0
Unfairness Discovery and Prevention For Few-Shot Regression—0
(Un)fairness in Post-operative Complication Prediction Models—0
Unified Browsing Models for Linear and Grid Layouts—0
Unified Group Fairness on Federated Learning—0
Unifying Distillation with Personalization in Federated Learning—0
Unintended Selection: Persistent Qualification Rate Disparities and Interventions—0
Universal Laws of Human Society's Income Distribution—0
University of Washington at TREC 2020 Fairness Ranking Track—0
Unlearning Algorithmic Biases over Graphs—0
Unleashing Linear Optimizers for Group-Fair Learning and Optimization—0
Unleashing the power of Neural Collapse for Transferability Estimation—0
Unlocking Fairness: a Trade-off Revisited—0
Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion—0
Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI—0
Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models—0
Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness—0
Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles—0
Unsupervised Learning for Equitable DER Control—0
Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems—0
Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective—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