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Fairness

Papers

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Showing 4351–4400 of 5676 papers

TitleStatusHype
Impact of Gender Debiased Word Embeddings in Language Modeling—0
Explaining how your AI system is fair—0
An Examination of Fairness of AI Models for Deepfake Detection—0
Federated Learning with Fair AveragingCode1
Online certification of preference-based fairness for personalized recommender systems—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
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related FeaturesCode0
A neural anisotropic view of underspecification in deep learning—0
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation LearningCode0
Improving Fairness in Speaker Recognition—0
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT RankersCode0
Towards Fair Federated Learning with Zero-Shot Data Augmentation—0
Multi-fairness under class-imbalance—0
Learning Fair Canonical Polyadical Decompositions using a Kernel Independence Criterion—0
LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification—0
Fair-Capacitated Clustering—0
Causal Learning for Socially Responsible AI—0
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual InstabilityCode0
Joint Time and Power Allocation for 5G NR Unlicensed Systems—0
Rule Generation for Classification: Scalability, Interpretability, and FairnessCode1
User-oriented Fairness in RecommendationCode1
The probabilistic rank random assignment rule and its axiomatic characterization—0
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers—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
Can Active Learning Preemptively Mitigate Fairness Issues?Code1
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
RTIC: Residual Learning for Text and Image Composition using Graph Convolutional NetworkCode1
Representative & Fair Synthetic Data—0
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word RepresentationsCode1
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
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline—0
fairmodels: A Flexible Tool For Bias Detection, Visualization, And MitigationCode0
Model Selection's Disparate Impact in Real-World Deep Learning Applications—0
Achieving Transparency Report Privacy in Linear Time—0
Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic AssignmentCode0
Individually Fair Gradient Boosting—0
A Transactive Energy Market Framework Considering Network Constraints and Fairness—0
FaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT—0
Statistical inference for individual fairnessCode0
Federated Learning with Taskonomy for Non-IID DataCode1
Tilted Cross Entropy (TCE): Promoting Fairness in Semantic Segmentation—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