SOTAVerified

Fairness

Papers

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Showing 426–450 of 5676 papers

TitleStatusHype
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement—0
Learning Pareto manifolds in high dimensions: How can regularization help?—0
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models—0
Reconfigurable Intelligent Sensing Surface enables Wireless Powered Communication Networks: Interference Suppression and Massive Wireless Energy Transfer—0
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models—0
Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing—0
Process-Supervised LLM Recommenders via Flow-guided TuningCode1
The influence of missing data mechanisms and simple missing data handling techniques on fairness—0
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference TimeCode0
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond—0
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification—0
Fairness-aware organ exchange and kidney paired donation—0
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers—0
Fine-Grained Bias Detection in LLM: Enhancing detection mechanisms for nuanced biases—0
Gradient-Driven Graph Neural Networks for Learning Digital and Hybrid Precoder—0
The AI Pentad, the CHARME^2D Model, and an Assessment of Current-State AI Regulation—0
A Frank System for Co-Evolutionary Hybrid Decision-Making—0
Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints—0
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic DataCode1
AutoTestForge: A Multidimensional Automated Testing Framework for Natural Language Processing Models—0
Precoder Learning for Weighted Sum Rate Maximization—0
Dynamic Pricing for On-Demand DNN Inference in the Edge-AI Market—0
Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm—0
Towards Trustworthy Federated Learning—0
Biased Heritage: How Datasets Shape Models in Facial Expression RecognitionCode0
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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