SOTAVerified

Fairness

Papers

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Showing 2151–2200 of 5676 papers

TitleStatusHype
Copycats: the many lives of a publicly available medical imaging dataset—0
FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models—0
Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions—0
Fairness of Exposure in Online Restless Multi-armed BanditsCode0
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation—0
Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic BanditsCode0
Prompting Fairness: Artificial Intelligence as Game PlayersCode0
Example-based Explanations for Random Forests using Machine Unlearning—0
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages—0
Probabilistic ML Verification via Weighted Model Integration—0
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning—0
Measuring Machine Learning Harms from Stereotypes Requires Understanding Who Is Harmed by Which Errors in What Ways—0
Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk Mitigation—0
Advancing Legal Reasoning: The Integration of AI to Navigate Complexities and Biases in Global Jurisprudence with Semi-Automated Arbitration Processes (SAAPs)—0
GenLens: A Systematic Evaluation of Visual GenAI Model Outputs—0
Disparate Impact on Group Accuracy of Linearization for Private InferenceCode0
FairWire: Fair Graph Generation—0
Causal Feature Selection for Responsible Machine Learning—0
Fair Active Ranking from Pairwise Preferences—0
Verifiable evaluations of machine learning models using zkSNARKsCode0
TexShape: Information Theoretic Sentence Embedding for Language ModelsCode0
Intersectional Two-sided Fairness in RecommendationCode0
Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processingCode0
Fairness and Privacy Guarantees in Federated Contextual Bandits—0
Regulation Games for Trustworthy Machine Learning—0
Counterfactual Fairness Is Not Demographic Parity, and Other Observations—0
On the Impact of Output Perturbation on Fairness in Binary Linear Classification—0
Recommendation Fairness in Social Networks Over Time—0
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks—0
Federated Unlearning: a Perspective of Stability and Fairness—0
Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Models—0
A Distributionally Robust Optimisation Approach to Fair Credit Scoring—0
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance—0
Supervised Algorithmic Fairness in Distribution Shifts: A Survey—0
Synthetic Data for the Mitigation of Demographic Biases in Face RecognitionCode0
Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of MinoritiesCode0
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender SystemsCode0
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records—0
Global-Liar: Factuality of LLMs over Time and Geographic Regions—0
Regularizing Fairness in Optimal Policy Learning with Distributional Targets—0
Heterophily-Aware Fair Recommendation using Graph Convolutional NetworksCode0
Graph Fairness Learning under Distribution Shifts—0
Bridging Human Concepts and Computer Vision for Explainable Face Verification—0
Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube—0
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate AdaptersCode0
FedFair^3: Unlocking Threefold Fairness in Federated Learning—0
Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending—0
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity—0
Geospatial Disparities: A Case Study on Real Estate Prices in ParisCode0
SimFair: Physics-Guided Fairness-Aware Learning with Simulation 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