SOTAVerified

Fairness

Papers

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Showing 5351–5400 of 5676 papers

TitleStatusHype
Fair Allocation Based Soft Load Shedding—0
Fair Allocation in Dynamic Mechanism Design—0
Fair and Accurate Regression: Strong Formulations and Algorithms—0
Fair and efficient contribution valuation for vertical federated learning—0
Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP—0
Fairness for Multi-Self Agents—0
Fair and Efficient Resource Allocation with Partial Information—0
Fair and Energy-Efficient Activation Control Mechanisms for Repeater-Assisted Massive MIMO—0
Most Equitable Voting Rules—0
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization—0
Fair and Optimal Cohort Selection for Linear Utilities—0
Fair and skill-diverse student group formation via constrained k-way graph partitioning—0
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges—0
Fair and Useful Cohort Selection—0
Fair Anomaly Detection For Imbalanced Groups—0
FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition—0
Fair assignment of indivisible objects under ordinal preferences—0
FairAutoML: Embracing Unfairness Mitigation in AutoML—0
Fair AutoML Through Multi-objective Optimization—0
Bandit Learning with Delayed Impact of Actions—0
Fair Bayesian Optimization—0
FairBelief - Assessing Harmful Beliefs in Language Models—0
FairMonitor: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models—0
fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations—0
FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning—0
FairCanary: Rapid Continuous Explainable Fairness—0
Fair-Capacitated Clustering—0
Fair Causal Feature Selection—0
Fair-CDA: Continuous and Directional Augmentation for Group Fairness—0
Fair Classification and Social Welfare—0
Fair Classification via Transformer Neural Networks: Case Study of an Educational Domain—0
Fair Classification via Unconstrained Optimization—0
Fair Classifiers that Abstain without Harm—0
Fair Class-Incremental Learning using Sample Weighting—0
FairCLIP: Social Bias Elimination based on Attribute Prototype Learning and Representation Neutralization—0
Fair Clustering: Critique, Caveats, and Future Directions—0
Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights—0
Fair Clustering Under a Bounded Cost—0
Fair Clustering Using Antidote Data—0
Fair Clustering via Alignment—0
Fair clustering via equitable group representations—0
Fair Clustering via Hierarchical Fair-Dirichlet Process—0
FairCompass: Operationalising Fairness in Machine Learning—0
Fair Compensation—0
Fair Computation Offloading for RSMA-Assisted Mobile Edge Computing Networks—0
FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing—0
Fair Concurrent Training of Multiple Models in Federated Learning—0
Fair Contextual Multi-Armed Bandits: Theory and Experiments—0
Fair Contracts in Principal-Agent Games with Heterogeneous Types—0
Fair Correlation Clustering—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