SOTAVerified

Fairness

Papers

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Showing 4451–4500 of 5676 papers

TitleStatusHype
Towards a Unified Framework for Fair and Stable Graph Representation LearningCode1
Towards Unbiased and Accurate Deferral to Multiple ExpertsCode0
Classification with abstention but without disparitiesCode0
A Stochastic Optimization Framework for Fair Risk MinimizationCode1
Directional Bias AmplificationCode1
On Meritocracy in Optimal Set Selection—0
Learning to Fairly Classify the Quality of Wireless Links—0
Local Calibration: Metrics and Recalibration—0
Coping with Mistreatment in Fair Algorithms—0
Causal Mediation Analysis with Hidden Confounders—0
Everything is Relative: Understanding Fairness with Optimal Transport—0
Deep Learning-based Power Control for Cell-Free Massive MIMO Networks—0
User Subgrouping in Multicast Massive MIMO over Spatially Correlated Rayleigh Fading Channels—0
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem—0
Sustainable and Resilient Systems for Intergenerational Justice—0
Maximizing Marginal Fairness for Dynamic Learning to RankCode0
Learning Fair Representations for Recommendation: A Graph-based PerspectiveCode1
Strategic bidding in freight transport using deep reinforcement learning—0
Towards the Right Kind of Fairness in AI—0
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information—0
Lexicographically Fair Learning: Algorithms and Generalization—0
Where to locate COVID-19 mass vaccination facilities?—0
AI Ethics Needs Good Data—0
Fair and Optimal Cohort Selection for Linear Utilities—0
On the Impact of Device and Behavioral Heterogeneity in Federated Learning—0
Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment—0
Learning in Multi-Stage Decentralized Matching Markets—0
Technical Challenges for Training Fair Neural Networks—0
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset—0
Testing Framework for Black-box AI Models—0
Disentangled Representations from Non-Disentangled Models—0
Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks—0
Fairness Through Regularization for Learning to Rank—0
Fairness-Aware PAC Learning from Corrupted Data—0
Regret, stability & fairness in matching markets with bandit learners—0
Regularization Strategies for Quantile Regression—0
CaPC Learning: Confidential and Private Collaborative LearningCode1
Output Perturbation for Differentially Private Convex Optimization: Faster and More General—0
A Ranking Approach to Fair Classification—0
Learning to Generate Fair Clusters from Demonstrations—0
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic FairnessCode0
Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation—0
Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare—0
Removing biased data to improve fairness and accuracyCode0
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities—0
BeFair: Addressing Fairness in the Banking Sector—0
Impact of Data Processing on Fairness in Supervised Learning—0
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice—0
One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision—0
Agent Incentives: A Causal Perspective—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