SOTAVerified

Fairness

Papers

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Showing 1551–1600 of 5676 papers

TitleStatusHype
mlr3summary: Concise and interpretable summaries for machine learning modelsCode0
Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks—0
Global Concept Explanations for Graphs by Contrastive LearningCode1
Conditional Fairness for Generative AIsCode0
Joint operation of a fast-charging EV hub with a stand-alone independent battery storage system under fairness considerations—0
SynthEval: A Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic DataCode1
FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication—0
Identifying Fairness Issues in Automatically Generated Testing Content—0
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments—0
Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric MeasureCode0
Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation—0
Fairness Incentives in Response to Unfair Dynamic Pricing—0
Fair Concurrent Training of Multiple Models in Federated Learning—0
Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual ManifoldsCode1
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation—0
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks—0
Security and Privacy Product Inclusion—0
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning—0
Explainable AI for Fair Sepsis Mortality Predictive Model—0
Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications—0
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action—0
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective—0
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams—0
Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted TreesCode0
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM EraCode2
FairSSD: Understanding Bias in Synthetic Speech DetectorsCode0
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement LearningCode0
OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning—0
CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language PromptingCode0
Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning—0
Quantifying fair income distribution in Thailand—0
Privacy at a Price: Exploring its Dual Impact on AI Fairness—0
Closing the Gap in the Trade-off between Fair Representations and Accuracy—0
Utility-Fairness Trade-Offs and How to Find Them—0
Misinformation Resilient Search Rankings with Webgraph-based InterventionsCode0
PraFFL: A Preference-Aware Scheme in Fair Federated LearningCode0
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward—0
Balanced Mixed-Type Tabular Data Synthesis with Diffusion ModelsCode0
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality—0
The Impact of Speech Anonymization on Pathology and Its LimitsCode0
Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information AlignmentCode0
Generating Counterfactual Explanations Using Cardinality Constraints—0
OpenBias: Open-set Bias Detection in Text-to-Image Generative ModelsCode1
FairEM360: A Suite for Responsible Entity MatchingCode0
Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter and What They Represent—0
Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order PickingCode0
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language ModelsCode1
Fair Graph Neural Network with Supervised Contrastive Regularization—0
FairICP: Encouraging Equalized Odds via Inverse Conditional PermutationCode0
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set—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