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Fairness

Papers

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Showing 4051–4100 of 5676 papers

TitleStatusHype
The Boltzmann fair division for distributive justice—0
Combining Contention-Based Spectrum Access and Adaptive Modulation using Deep Reinforcement Learning—0
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel ManifoldCode1
Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management—0
Fairness-aware Class Imbalanced Learning—0
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values—0
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and TransformersCode1
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making—0
Identifying biases in legal data: An algorithmic fairness perspective—0
Achieving Counterfactual Fairness for Causal Bandit—0
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging—0
Algorithmic Fairness Verification with Graphical ModelsCode0
Towards Automatic Bias Detection in Knowledge GraphsCode0
Model-Based Approach for Measuring the Fairness in ASR—0
Improving Fairness for Data Valuation in Horizontal Federated Learning—0
Learning to be Fair: A Consequentialist Approach to Equitable Decision-MakingCode0
Fairness Maximization among Offline Agents in Online-Matching Markets—0
Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms—0
Pareto Optimality for Fairness-constrained Collaborative FilteringCode1
Enforcing fairness in private federated learning via the modified method of differential multipliers—0
Achieving Model Fairness in Vertical Federated LearningCode0
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based ApproachCode0
Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness—0
A Fairness Analysis on Private Aggregation of Teacher Ensembles—0
Learning from Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing—0
Balancing out Bias: Achieving Fairness Through Balanced Training—0
Self-learn to Explain Siamese Networks Robustly—0
Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling—0
Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education—0
Finding Representative Group Fairness Metrics Using Correlation Estimations—0
On Tilted Losses in Machine Learning: Theory and ApplicationsCode1
Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint—0
Training Fair Models in Federated Learning without Data Privacy Infringement—0
FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation—0
Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making—0
Ethics of AI: A Systematic Literature Review of Principles and Challenges—0
College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion—0
Utility Fairness for the Differentially Private Federated Learning—0
Omnipredictors—0
Fairness without the sensitive attribute via Causal Variational AutoencoderCode0
Style Pooling: Automatic Text Style Obfuscation for Improved Classification FairnessCode0
Fair Compensation—0
Feature-based Individual Fairness in k-Clustering—0
Gradual (In)Compatibility of Fairness CriteriaCode0
A Systematic Approach to Group Fairness in Automated Decision Making—0
On Characterizing the Trade-off in Invariant Representation LearningCode0
Attributing Fair Decisions with Attention InterventionsCode0
Sustainable Modular Debiasing of Language Models—0
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudCode1
Learning-Based Downlink Power Allocation in Cell-Free Massive MIMO SystemsCode1
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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