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Fairness

Papers

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Showing 4901–4950 of 5676 papers

TitleStatusHype
FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning—0
Machine learning fairness notions: Bridging the gap with real-world applications—0
Evaluation of Fairness Trade-offs in Predicting Student Success—0
Efficient Mining Cluster Selection for Blockchain-based Cellular V2X Communications—0
PAC-Bayesian Bound for the Conditional Value at Risk—0
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness—0
Fairness with Overlapping Groups—0
On Fair Selection in the Presence of Implicit Variance—0
A Framework for Fairness in Two-Sided Marketplaces—0
Fair Performance Metric Elicitation—0
Distributional Individual Fairness in ClusteringCode0
How fair can we go in machine learning? Assessing the boundaries of fairness in decision treesCode0
PipeSim: Trace-driven Simulation of Large-Scale AI Operations Platforms—0
Improving LIME Robustness with Smarter Locality SamplingCode0
Verifying Individual Fairness in Machine Learning Models—0
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations—0
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies—0
Fair Active LearningCode0
Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org—0
Two Simple Ways to Learn Individual Fairness Metrics from Data—0
Fair clustering via equitable group representations—0
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems—0
Individual Calibration with Randomized Forecasting—0
Fair Hierarchical Clustering—0
Towards Threshold Invariant Fair Classification—0
Structured Massive Access for Scalable Cell-Free Massive MIMO Systems—0
LimeOut: An Ensemble Approach To Improve Process Fairness—0
Deep Learning feature selection to unhide demographic recommender systems factors—0
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context—0
Fairness-Oriented Semi-Chaotic Genetic Algorithm-Based Channel Assignment Technique for Nodes Starvation Problem in Wireless Mesh Network—0
Solving Constrained CASH Problems with ADMM—0
Quality Management of Machine Learning Systems—0
On Adversarial Bias and the Robustness of Fair Machine LearningCode0
Causal Inference with Deep Causal Graphs—0
Learning Smooth and Fair Representations—0
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm UtilityCode0
Fairness Under Feature Exemptions: Counterfactual and Observational Measures—0
Fair Influence Maximization: A Welfare Optimization Approach—0
Quota-based debiasing can decrease representation of already underrepresented groupsCode0
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data—0
Fair Regression with Wasserstein Barycenters—0
Algorithms and Learning for Fair Portfolio DesignCode0
Fairness in Forecasting and Learning Linear Dynamical Systems—0
Group-Fair Online Allocation in Continuous Time—0
Active Sampling for Min-Max FairnessCode0
Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective OptimizationCode0
A Variational Approach to Privacy and FairnessCode0
Hypergraph Clustering for Finding Diverse and Experienced GroupsCode0
Balancing Fairness and Efficiency in an Optimization Model—0
Towards Integrating Fairness Transparently in Industrial Applications—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