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Fairness

Papers

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Showing 2351–2400 of 5676 papers

TitleStatusHype
Fairness-guided Few-shot Prompting for Large Language Models—0
Fairness-guided SMT-based Rectification of Decision Trees and Random Forests—0
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms—0
Fairness Hub Technical Briefs: AUC Gap—0
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift—0
Fair Machine Learning in Healthcare: A Review—0
Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making—0
Fairness Improves Learning from Noisily Labeled Long-Tailed Data—0
Individual Fairness in Advertising Auctions through Inverse Proportionality—0
Fairness in AI and Its Long-Term Implications on Society—0
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems—0
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality—0
Fair Machine Learning for Healthcare Requires Recognizing the Intersectionality of Sociodemographic Factors, a Case Study—0
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity—0
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness—0
Fairness in Biometrics: a figure of merit to assess biometric verification systems—0
Fairness Shields: Safeguarding against Biased Decision Makers—0
Fairness Incentives in Response to Unfair Dynamic Pricing—0
Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms—0
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results—0
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning—0
Collective decisions under uncertainty: efficiency, ex-ante fairness, and normalization—0
Fairly Allocating Utility in Constrained Multiwinner Elections—0
Fairness in Deep Learning: A Computational Perspective—0
Fairness Index Measures to Evaluate Bias in Biometric Recognition—0
Fairness Indicators for Systematic Assessments of Visual Feature Extractors—0
Fairly Adaptive Negative Sampling for Recommendations—0
Fairness in Federated Learning: Fairness for Whom?—0
Fairness in Federated Learning for Spatial-Temporal Applications—0
Fairness in Federated Learning via Core-Stability—0
Fairness in Forecasting and Learning Linear Dynamical Systems—0
Convex Fairness Constrained Model Using Causal Effect Estimators—0
Fairness in generative modeling—0
Aggregating Concepts of Accuracy and Fairness in Prediction Algorithms—0
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning—0
Fairness in KI-Systemen—0
Fairness Risks for Group-conditionally Missing Demographics—0
Fairness in Large Language Models: A Taxonomic Survey—0
Fairness in Learning-Based Sequential Decision Algorithms: A Survey—0
Fairness in Learning: Classic and Contextual Bandits—0
Fairness in LLM-Generated Surveys—0
Fairness in Machine Learning—0
Fairness in machine learning: against false positive rate equality as a measure of fairness—0
Fairness in Machine Learning: A Survey—0
Fairness in Machine Learning meets with Equity in Healthcare—0
Fairness in Machine Learning with Tractable Models—0
Fairness in Matching under Uncertainty—0
Fairness in Missing Data Imputation—0
Fairness Testing of Deep Image Classification with Adequacy Metrics—0
Fairly Accurate: Optimizing Accuracy Parity in Fair Target-Group Detection—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