SOTAVerified

Fairness

Papers

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Showing 3001–3050 of 5676 papers

TitleStatusHype
AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain SecurityCode0
On Text-based Personality Computing: Challenges and Future Directions—0
Simplicity Bias Leads to Amplified Performance Disparities—0
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data—0
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen EstimatorCode1
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting—0
Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning—0
Regulating Gatekeeper AI and Data: Transparency, Access, and Fairness under the DMA, the GDPR, and beyond—0
Fairify: Fairness Verification of Neural NetworksCode0
Towards Understanding Fairness and its Composition in Ensemble Machine LearningCode0
A Characterization of Maximum Nash Welfare for Indivisible Goods—0
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning—0
Fairness and Explainability: Bridging the Gap Towards Fair Model ExplanationsCode0
Pareto Pairwise Ranking for Fairness Enhancement of Recommender Systems—0
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks—0
Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness?—0
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling—0
Certifying Fairness of Probabilistic CircuitsCode0
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results—0
Can Evolutionary Clustering Have Theoretical Guarantees?—0
Towards Robust NLG Bias Evaluation with Syntactically-diverse PromptsCode0
Fair Generative Models via Transfer LearningCode0
Probably Approximate Shapley Fairness with Applications in Machine LearningCode0
Fairness in Multi-Agent Planning—0
Welfare and Fairness in Multi-objective Reinforcement LearningCode0
Fair Ranking with Noisy Protected AttributesCode0
Learning Antidote Data to Individual Unfairness—0
Robustness Disparities in Face DetectionCode0
Malign Overfitting: Interpolation Can Provably Preclude Invariance—0
FaiREE: Fair Classification with Finite-Sample and Distribution-Free GuaranteeCode0
MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face RecognitionCode1
UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms—0
A Data-driven Pricing Scheme for Optimal Routing through Artificial Currencies—0
"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual ExplanationsCode0
The Impact of Racial Distribution in Training Data on Face Recognition Bias: A Closer Look—0
A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale—0
The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future—0
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?—0
Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research—0
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML EvaluationCode2
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning—0
Incentive-Aware Recommender Systems in Two-Sided MarketsCode0
Fairly Allocating Utility in Constrained Multiwinner Elections—0
Vertical Federated Learning: Concepts, Advances and Challenges—0
Joint Design of Power Control and Access Point Scheduling for Uplink Cell-Free Massive MIMO Networks—0
Reinforcement learning for traffic signal control in hybrid action space—0
On the Complexity of Finding a Diverse and Representative Committee using a Monotone, Separable Positional Multiwinner Voting Rule—0
Subgroup Robustness Grows On Trees: An Empirical Baseline InvestigationCode0
A Reinforcement Learning Approach to Optimize Available Network Bandwidth Utilization—0
Equality of Effort via Algorithmic Recourse—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