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Fairness

Papers

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Showing 751–800 of 5676 papers

TitleStatusHype
A Low-Complexity Approach for Max-Min Fairness in Uplink Cell-Free Massive MIMO—0
Bayesian fairness—0
Bayesian Hierarchical Models for Counterfactual Estimation—0
Bayesian Inference for Large Scale Image Classification—0
Bayesian Modeling of Intersectional Fairness: The Variance of Bias—0
Bayesian Neural Networks with Domain Knowledge Priors—0
Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence—0
Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence—0
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity—0
Bayes-Optimal Fair Classification with Multiple Sensitive Features—0
A Multidimensional Analysis of Social Biases in Vision Transformers—0
Beam Blockage in Optical Wireless Systems—0
BEATS: Bias Evaluation and Assessment Test Suite for Large Language Models—0
BeFair: Addressing Fairness in the Banking Sector—0
Behaviour4All: in-the-wild Facial Behaviour Analysis Toolkit—0
Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals—0
Cali3F: Calibrated Fast Fair Federated Recommendation System—0
Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set—0
A Multivocal Literature Review on Privacy and Fairness in Federated Learning—0
BenchmarkCards: Large Language Model and Risk Reporting—0
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees—0
Balancing Fairness and Efficiency in an Optimization Model—0
Benchmarking Bias in Large Language Models during Role-Playing—0
A Local Search Framework for Experimental Design—0
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement—0
Balancing Fairness and Accuracy in Data-Restricted Binary Classification—0
Benchmarking Mutual Information-based Loss Functions in Federated Learning—0
Analysing a built-in advantage in asymmetric darts contests using causal machine learning—0
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models—0
Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features—0
Almost Group Envy-free Allocation of Indivisible Goods and Chores—0
Best Arm Identification with Fairness Constraints on Subpopulations—0
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization—0
Analysis of Fairness-promoting Optimization Schemes of Photovoltaic Curtailments for Voltage Regulation in Power Distribution Networks—0
Analysis of Scheduling schemes based on Carrier Aggregation in LTE-Advanced and their improvement—0
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs—0
Calibrated Fairness in Bandits—0
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing—0
Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks—0
Reranking individuals: The effect of fair classification within-groups—0
(Almost) Envy-Free, Proportional and Efficient Allocations of an Indivisible Mixed Manna—0
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools—0
Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation—0
Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection—0
Beyond Detection: Designing AI-Resilient Assessments with Automated Feedback Tool to Foster Critical Thinking—0
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models—0
Beyond Explainability: The Case for AI Validation—0
Beyond Fairness: Age-Harmless Parkinson's Detection via Voice—0
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning—0
Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation—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