SOTAVerified

Fairness

Papers

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Showing 1051–1100 of 5676 papers

TitleStatusHype
On the "Illusion" of Gender Bias in Face Recognition: Explaining the Fairness Issue Through Non-demographic Attributes—0
Are generative models fair? A study of racial bias in dermatological image generation—0
Collaborative Channel Access and Transmission for NR Sidelink and Wi-Fi Coexistence over Unlicensed Spectrum—0
Fairness Testing through Extreme Value Theory—0
Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness—0
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study—0
Distributed Quasi-Newton Method for Fair and Fast Federated Learning—0
Measuring Fairness in Financial Transaction Machine Learning Models—0
U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection—0
AI in Support of Diversity and Inclusion—0
Artificial Intelligence-Driven Clinical Decision Support Systems—0
Analyzing the Ethical Logic of Six Large Language Models—0
The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation—0
Uncovering Bias in Foundation Models: Impact, Testing, Harm, and MitigationCode0
FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware ClassificationCode0
Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling—0
Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I NetworksCode0
Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic HiringCode0
Reducing Latency by Eliminating CSIT Feedback: FDD Downlink MIMO Precoding Without CSIT Feedback for Internet-of-Things Communications—0
DVM: Towards Controllable LLM Agents in Social Deduction Games—0
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences—0
Procedural Fairness and Its Relationship with Distributive Fairness in Machine LearningCode0
Recommending the right academic programs: An interest mining approach using BERTopic—0
Resource Allocation under the Latin Square Constraint—0
Assessing instructor-AI cooperation for grading essay-type questions in an introductory sociology courseCode0
Real-Time Integrated Dispatching and Idle Fleet Steering with Deep Reinforcement Learning for A Meal Delivery Platform—0
Recommender Systems for Social Good: The Role of Accountability and Sustainability—0
Coverage and Spectral Efficiency of NOMA-Enabled LEO Satellite Networks with Ordering Schemes—0
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing—0
Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket RecommendationCode0
On the Sum Rate and User Fairness of STAR-RIS Aided Communications—0
Deontic Temporal Logic for Formal Verification of AI Ethics—0
FairCoder: Evaluating Social Bias of LLMs in Code GenerationCode0
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training—0
Bundled School Choice—0
Who Does the Giant Number Pile Like Best: Analyzing Fairness in Hiring ContextsCode0
Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA—0
Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems—0
BiasGuard: Guardrailing Fairness in Machine Learning Production SystemsCode0
AFed: Algorithmic Fair Federated Learning—0
Fairness Through MatchingCode0
Knowledge Distillation with Adapted Weight—0
Proof-of-Data: A Consensus Protocol for Collaborative Intelligence—0
Disentangling Popularity and Quality: An Edge Classification Approach for Fair Recommendation—0
Over-the-Air Fair Federated Learning via Multi-Objective OptimizationCode0
Incentive-Compatible Federated Learning with Stackelberg Game Modeling—0
Representation Learning of Lab Values via Masked AutoEncoderCode0
Exploring Equality: An Investigation into Custom Loss Functions for Fairness Definitions—0
Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms—0
Age-Based Device Selection and Transmit Power Optimization in Over-the-Air Federated Learning—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