SOTAVerified

Fairness

Papers

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Showing 2351–2400 of 5676 papers

TitleStatusHype
The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking—0
Elucidate Gender Fairness in Singing Voice TranscriptionCode1
Bias Behind the Wheel: Fairness Testing of Autonomous Driving SystemsCode0
Hard Adversarial Example Mining for Improving Robust Fairness—0
A Multidimensional Analysis of Social Biases in Vision Transformers—0
Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare—0
Price-Aware Deep Learning for Electricity Markets—0
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems—0
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity—0
Monitoring Algorithmic Fairness under Partial Observations—0
A Suite of Fairness Datasets for Tabular Classification—0
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook—0
Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives—0
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging—0
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach—0
An Automata-Theoretic Approach to Synthesizing Binarized Neural Networks—0
RoCar: A Relationship Network-based Evaluation Method for Large Language ModelsCode0
Holistic Survey of Privacy and Fairness in Machine Learning—0
LUCID-GAN: Conditional Generative Models to Locate UnfairnessCode0
The Initial Screening Order ProblemCode0
Is this model reliable for everyone? Testing for strong calibrationCode0
Bipartite Ranking Fairness through a Model Agnostic Ordering AdjustmentCode0
Fair Machine Unlearning: Data Removal while Mitigating DisparitiesCode0
Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy—0
Fairness Improvement with Multiple Protected Attributes: How Far Are We?Code0
A short review of the main concerns in A.I. development and application within the public sector supported by NLP and TM—0
Explainable Disparity Compensation for Efficient Fair Ranking—0
Mitigating Mainstream Bias in Recommendation via Cost-sensitive LearningCode0
The Double-Edged Sword of Big Data and Information Technology for the Disadvantaged: A Cautionary Tale from Open Banking—0
Scaff-PD: Communication Efficient Fair and Robust Federated Learning—0
Towards an AI Accountability Policy—0
On The Role of Reasoning in the Identification of Subtle Stereotypes in Natural Language—0
Fairness Under Demographic Scarce RegimeCode0
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case—0
Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning—0
Spectral Normalized-Cut Graph Partitioning with Fairness ConstraintsCode0
On the Vulnerability of Fairness Constrained Learning to Malicious Noise—0
Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework—0
A Video-based Detector for Suspicious Activity in Examination with OpenPose—0
Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information DecompositionCode0
Mitigating Voter Attribute Bias for Fair Opinion Aggregation—0
Decentralized Smart Charging of Large-Scale EVs using Adaptive Multi-Agent Multi-Armed Bandits—0
FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation—0
Fairness-Aware Client Selection for Federated Learning—0
Challenges and Solutions in AI for All—0
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior—0
Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks—0
Towards Fair Face Verification: An In-depth Analysis of Demographic Biases—0
Test-takers have a say: understanding the implications of the use of AI in language tests—0
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing—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