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Fairness

Papers

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Showing 2201–2250 of 5676 papers

TitleStatusHype
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models—0
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently—0
A structured regression approach for evaluating model performance across intersectional subgroups—0
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive LearningCode0
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse—0
Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation—0
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective—0
Causal Perception—0
Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare—0
Robustness in Fairness against Edge-level Perturbations in GNN-based RecommendationCode0
Reranking individuals: The effect of fair classification within-groups—0
Benchmarking the Fairness of Image Upsampling MethodsCode0
Generative AI Triggers Welfare-Reducing Decisions in Humans—0
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information LeakageCode0
MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels—0
Falcon: Fair Active Learning using Multi-armed BanditsCode0
DAFA: Distance-Aware Fair Adversarial TrainingCode0
Red Teaming Visual Language Models—0
LLpowershap: Logistic Loss-based Automated Shapley Values Feature Selection MethodCode0
Unambiguous Efficiency of Random Allocations—0
Long-Term Fair Decision Making through Deep Generative ModelsCode0
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms—0
Large-scale Reinforcement Learning for Diffusion Models—0
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and RecencyCode0
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach—0
Gender Bias in Machine Translation and The Era of Large Language Models—0
Enhancing the Fairness and Performance of Edge Cameras with Explainable AI—0
Biases in Expected Goals Models Confound Finishing Ability—0
Towards providing reliable job completion time predictions using PCSCode0
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset—0
Model Compression Techniques in Biometrics Applications: A SurveyCode0
Mitigating Position Bias with Regularization for Recommender Systems—0
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning—0
A Novel Approach to Fair Power Allocation for NOMA in Visible Light Communication—0
Statistical Analysis and Optimization of a Fifth-Percentile User Rate Constrained Design for FFR/SFR-Aided OFDMA-Based Cellular Networks—0
Performance Analysis and Optimisation of FFR-Aided OFDMA Networks using Channel-Aware Scheduling—0
The Impact of Differential Feature Under-reporting on Algorithmic Fairness—0
Achieve Fairness without Demographics for Dermatological Disease DiagnosisCode0
Fairness Concerns in App Reviews: A Study on AI-based Mobile Apps—0
Data vs. Model Machine Learning Fairness Testing: An Empirical Study—0
Fairness-aware Photovoltaic Generation Limits for Voltage Regulation in Power Distribution Networks using Conservative Linear Approximations—0
A General Approach for Computing a Consensus in Group Decision Making That Integrates Multiple Ethical PrinciplesCode0
Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace AuthorizationsCode0
On the (In)Compatibility between Group Fairness and Individual FairnessCode0
Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making—0
FedDriveScore: Federated Scoring Driving Behavior with a Mixture of Metric Distributions—0
An investigation of structures responsible for gender bias in BERT and DistilBERT—0
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement LearningCode0
A Semantic-Aware Multiple Access Scheme for Distributed, Dynamic 6G-Based ApplicationsCode0
Deep Learning Meets Mechanism Design: Key Results and Some Novel 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