SOTAVerified

Fairness

Papers

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Showing 5026–5050 of 5676 papers

TitleStatusHype
Disentangling Popularity and Quality: An Edge Classification Approach for Fair Recommendation—0
Dissecting Causal Biases—0
Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies—0
Combining Contention-Based Spectrum Access and Adaptive Modulation using Deep Reinforcement Learning—0
Distributed Proximal Policy Optimization for Contention-Based Spectrum Access—0
Distributed Quasi-Newton Method for Fair and Fast Federated Learning—0
Distributing Synergy Functions: Unifying Game-Theoretic Interaction Methods for Machine-Learning Explainability—0
Distributionally Robust Fair Principal Components via Geodesic Descents—0
Distributionally Robust Federated Learning with Client Drift Minimization—0
Distributionally Robust Optimization with Bias and Variance Reduction—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
Diverse Client Selection for Federated Learning via Submodular Maximization—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
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
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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