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Fairness

Papers

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Showing 4451–4500 of 5676 papers

TitleStatusHype
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification—0
Reliability Testing for Natural Language Processing Systems—0
Multi-FR: A Multi-objective Optimization Framework for Multi-stakeholder Fairness-aware Recommendation—0
When Fair Ranking Meets Uncertain InferenceCode0
A Step Toward More Inclusive People Annotations for Fairness—0
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?—0
Impact of Gender Debiased Word Embeddings in Language Modeling—0
Explaining how your AI system is fair—0
A Rate-Splitting Strategy to Enable Joint Radar Sensing and Communication with Partial CSIT—0
An Examination of Fairness of AI Models for Deepfake Detection—0
A neural anisotropic view of underspecification in deep learning—0
Improving Fairness in Speaker Recognition—0
Questioning causality on sex, gender and COVID-19, and identifying bias in large-scale data-driven analyses: the Bias Priority Recommendations and Bias Catalog for Pandemics—0
Online certification of preference-based fairness for personalized recommender systems—0
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation LearningCode0
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related FeaturesCode0
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT RankersCode0
Learning Fair Canonical Polyadical Decompositions using a Kernel Independence Criterion—0
Multi-fairness under class-imbalance—0
Towards Fair Federated Learning with Zero-Shot Data Augmentation—0
LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification—0
Causal Learning for Socially Responsible AI—0
Fair-Capacitated Clustering—0
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual InstabilityCode0
Joint Time and Power Allocation for 5G NR Unlicensed Systems—0
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers—0
The probabilistic rank random assignment rule and its axiomatic characterization—0
Fair Representation Learning for Heterogeneous Information NetworksCode0
Are Word Embedding Methods Stable and Should We Care About It?—0
Welfare Measure for Resource Allocation with Algorithmic Implementation: Beyond Average and Max-Min—0
On the Impact of Random Seeds on the Fairness of Clinical Classifiers—0
Towards Algorithmic Transparency: A Diversity Perspective—0
Understanding Prediction Discrepancies in Machine Learning Classifiers—0
Fairly Constricted Multi-Objective Particle Swarm OptimizationCode0
Implementing Fair Regression In The Real World—0
Representative & Fair Synthetic Data—0
End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning—0
Towards Measuring Fairness in AI: the Casual Conversations Dataset—0
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing—0
ALUE: Arabic Language Understanding EvaluationCode0
fairmodels: A Flexible Tool For Bias Detection, Visualization, And MitigationCode0
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline—0
Model Selection's Disparate Impact in Real-World Deep Learning Applications—0
Individually Fair Gradient Boosting—0
A Transactive Energy Market Framework Considering Network Constraints and Fairness—0
Achieving Transparency Report Privacy in Linear Time—0
Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic AssignmentCode0
Statistical inference for individual fairnessCode0
FaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT—0
Equality before the Law: Legal Judgment Consistency Analysis for Fairness—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