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Fairness

Papers

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Showing 4001–4050 of 5676 papers

TitleStatusHype
GRAIL: A Benchmark for GRaph ActIve Learning in Dynamic Sensing Environments—0
50 Years of Test (Un)fairness: Lessons for Machine Learning—0
A2SF: Accumulative Attention Scoring with Forgetting Factor for Token Pruning in Transformer Decoder—0
A3:Ambiguous Aberrations Captured via Astray-Learning for Facial Forgery Semantic Sublimation—0
A Balance for Fairness: Fair Distribution Utilising Physics in Games of Characteristic Function Form—0
A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization—0
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records—0
A Benchmark for Fairness-Aware Graph Learning—0
Algorithmic decision making methods for fair credit scoring—0
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning—0
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)—0
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics—0
Absolute Shapley Value—0
Abstracting Fairness: Oracles, Metrics, and Interpretability—0
Abstract Interpretation-Based Feature Importance for SVMs—0
A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records—0
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness—0
A Capabilities Approach to Studying Bias and Harm in Language Technologies—0
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs—0
A Catalog of Fairness-Aware Practices in Machine Learning Engineering—0
A Causal Bayesian Networks Viewpoint on Fairness—0
Accelerating Fair Federated Learning: Adaptive Federated Adam—0
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies—0
Accelerating Spectral Clustering under Fairness Constraints—0
Accounting for Model Uncertainty in Algorithmic Discrimination—0
Accuracy and Fairness of Facial Recognition Technology in Low-Quality Police Images: An Experiment With Synthetic Faces—0
Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models—0
Accuracy vs. Accuracy: Computational Tradeoffs Between Classification Rates and Utility—0
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization—0
A Center in Your Neighborhood: Fairness in Facility Location—0
A Characterization of Maximum Nash Welfare for Indivisible Goods—0
Achievement and Fragility of Long-term Equitability—0
Achieving Arbitrary Throughput-Fairness Trade-offs in the Inter Cell Interference Coordination with Fixed Transmit Power Problem—0
Achieving Counterfactual Fairness for Causal Bandit—0
Repairing Regressors for Fair Binary Classification at Any Decision Threshold—0
Achieving Fairness Across Local and Global Models in Federated Learning—0
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization—0
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning—0
Achieving Fairness in Predictive Process Analytics via Adversarial Learning—0
Achieving Fairness in the Stochastic Multi-armed Bandit Problem—0
Achieving Fairness with a Simple Ridge Penalty—0
Achieving Fair PCA Using Joint Eigenvalue Decomposition—0
Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects—0
Achieving Long-term Fairness in Submodular Maximization through Randomization—0
Achieving Proportionality up to the Maximin Item with Indivisible Goods—0
Achieving Transparency Report Privacy in Linear Time—0
Achieving User-Side Fairness in Contextual Bandits—0
A Comparison of Differential Performance Metrics for the Evaluation of Automatic Speaker Verification Fairness—0
A Complete Criterion for Value of Information in Soluble Influence Diagrams—0
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models—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