SOTAVerified

Fairness

Papers

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Showing 1501–1525 of 5676 papers

TitleStatusHype
Basic principles and concept design of a real-time clinical decision support system for managing medical emergencies on missions to Mars—0
Amazing Things Come From Having Many Good Models—0
Cooperative Energy Scheduling for Microgrids under Peak Demand Energy Plans—0
Batched Online Contextual Sparse Bandits with Sequential Inclusion of Features—0
Distribution-Free Fair Federated Learning with Small Samples—0
Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values—0
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?—0
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges—0
Diverse Client Selection for Federated Learning via Submodular Maximization—0
Bayesian Inference for Large Scale Image Classification—0
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning—0
Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop—0
Diversity and Inclusion Metrics in Subset Selection—0
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software—0
Diversity-Fair Online Selection—0
Diversity in Faces—0
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective—0
Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence—0
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity—0
A debiasing technique for place-based algorithmic patrol management—0
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models—0
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification—0
Does calibration mean what they say it means; or, the reference class problem rises again—0
Does Data-Efficient Generalization Exacerbate Bias in Foundation Models?—0
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision 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