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Fairness

Papers

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Showing 4601–4650 of 5676 papers

TitleStatusHype
Bicriteria Approximation Algorithms for Priority Matroid Median—0
BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization—0
Biometrics: Trust, but Verify—0
Bipartite Graph Variational Auto-Encoder with Fair Latent Representation to Account for Sampling Bias in Ecological Networks—0
BIRD: Behavior Induction via Representation-structure Distillation—0
BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge—0
Black Feminist Musings on Algorithmic Oppression—0
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm—0
BLAZE: Blazing Fast Privacy-Preserving Machine Learning—0
Blind Pareto Fairness and Subgroup Robustness—0
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior—0
Blockchain-based Framework for Scalable and Incentivized Federated Learning—0
Blockchain-based Trustworthy Federated Learning Architecture—0
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing—0
Boosting Fairness and Robustness in Over-the-Air Federated Learning—0
Bounded Incentives in Manipulating the Probabilistic Serial Rule—0
Bounded Temporal Fairness for FIFO Financial Markets—0
Boxer: Interactive Comparison of Classifier Results—0
Breaking Fair Binary Classification with Optimal Flipping Attacks—0
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling—0
Bridging Fairness and Environmental Sustainability in Natural Language Processing—0
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning—0
Bridging Human Concepts and Computer Vision for Explainable Face Verification—0
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness—0
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks—0
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences—0
Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability—0
Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools—0
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks—0
Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning—0
Bugs in Machine Learning-based Systems: A Faultload Benchmark—0
Building A Unified AI-centric Language System: analysis, framework and future work—0
Building Better Open-Source Tools to Support Fairness in Automated Scoring—0
Building Ethically Bounded AI—0
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks—0
Bundled School Choice—0
Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation—0
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning—0
CADS: Core-Aware Dynamic Scheduler for Multicore Memory Controllers—0
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement—0
Cali3F: Calibrated Fast Fair Federated Recommendation System—0
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees—0
Calibrated Fairness in Bandits—0
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank—0
Can Artificial Intelligence Embody Moral Values?—0
Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation—0
Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness?—0
Can everyday AI be ethical. Fairness of Machine Learning Algorithms—0
Can Evolutionary Clustering Have Theoretical Guarantees?—0
Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI—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