SOTAVerified

Fairness

Papers

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Showing 1451–1500 of 5676 papers

TitleStatusHype
Towards Unbiased Evaluation of Time-series Anomaly DetectorCode0
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-MakersCode0
User Subgrouping and Power Control for Multicast Massive MIMO over Spatially Correlated Channels—0
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model—0
A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs—0
OATH: Efficient and Flexible Zero-Knowledge Proofs of End-to-End ML Fairness—0
Fair Anomaly Detection For Imbalanced Groups—0
Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation—0
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools—0
A Deep Learning Approach for User-Centric Clustering in Cell-Free Massive MIMO Systems—0
SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness CalibrationCode0
Unveiling and Mitigating Bias in Large Language Model Recommendations: A Path to Fairness—0
Fairness, not Emotion, Drives Socioeconomic Decision Making—0
A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach—0
Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models—0
A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View—0
LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels—0
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning—0
Fair CoVariance Neural Networks—0
Batched Online Contextual Sparse Bandits with Sequential Inclusion of Features—0
Enhancing transparency in AI-powered customer engagement—0
Promoting Fairness in Link Prediction with Graph Enhancement—0
SIG: A Synthetic Identity Generation Pipeline for Generating Evaluation Datasets for Face Recognition—0
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning—0
Still More Shades of Null: An Evaluation Suite for Responsible Missing Value ImputationCode0
Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation—0
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems—0
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency—0
UPCS: Unbiased Persona Construction for Dialogue Generation—0
Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks—0
Influence-based Attributions can be ManipulatedCode0
Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative StudyCode0
Centralized Selection with Preferences in the Presence of BiasesCode0
Towards a Socially Acceptable Competitive Equilibrium in Energy Markets—0
Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges—0
How Fair is Your Diffusion Recommender Model?—0
Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias Measurement in the U.S—0
AGR: Age Group fairness Reward for Bias Mitigation in LLMs—0
Microfinance in Thailand: Navigating Challenges and Unlocking Opportunities—0
Understanding Fairness in Recommender Systems: A Healthcare Perspective—0
Debiasing Text Safety Classifiers through a Fairness-Aware EnsembleCode0
FairQuant: Certifying and Quantifying Fairness of Deep Neural Networks—0
Fair Minimum Representation Clustering via Integer Programming—0
Nteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives—0
The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition—0
Evaluating Machine Learning-based Skin Cancer Diagnosis—0
Fair Railway Network Design—0
Counterfactual Fairness by Combining Factual and Counterfactual PredictionsCode0
Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in Biometrics—0
Debiasing Graph Representation Learning based on Information Bottleneck—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