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Fairness

Papers

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Showing 4051–4100 of 5676 papers

TitleStatusHype
Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models—0
Fairness for AUC via Feature Augmentation—0
Matching Learned Causal Effects of Neural Networks with Domain Priors—0
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR—0
Algorithmic Fairness in Face Morphing Attack Detection—0
Post-processing Counterexample-guided Fairness Guarantees in Neural Networks—0
End-to-end Learning for Fair Ranking Systems—0
Towards Return Parity in Markov Decision ProcessesCode0
Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics—0
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions—0
CONFAIR: Configurable and Interpretable Algorithmic Fairness—0
Fairness Testing of Deep Image Classification with Adequacy Metrics—0
Legal Fairness Analysis via Treatment Effect Estimation—0
Interpretable and Fair Boolean Rule Sets via Column Generation—0
Fairness-aware Online Price Discrimination with Nonparametric Demand Models—0
Fair NLP Models with Differentially Private Text Encoders—0
Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold—0
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing—0
Measuring Fairness of Text Classifiers via Prediction Sensitivity—0
Your fairness may vary: Pretrained language model fairness in toxic text classification—0
Randomized Classifiers vs Human Decision-Makers: Trustworthy AI May Have to Act Randomly and Society Seems to Accept This—0
Property Inference Attacks Against GANsCode0
LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanationsCode0
What Should We Optimize in Participatory Budgeting? An Experimental Study—0
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications—0
Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System—0
FairAutoML: Embracing Unfairness Mitigation in AutoML—0
Understanding and Mitigating Multi-Sided Exposure Bias in Recommender Systems—0
Local Justice and the Algorithmic Allocation of Societal Resources—0
Can Information Flows Suggest Targets for Interventions in Neural Circuits?Code0
Unified Group Fairness on Federated Learning—0
Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction—0
Group-Aware Threshold Adaptation for Fair Classification—0
Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition—0
Identifying Best Fair Intervention—0
Proposing an Interactive Audit Pipeline for Visual Privacy Research—0
Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization—0
Large Scale Diverse Combinatorial Optimization: ESPN Fantasy Football Player Trades—0
Whistleblower protection in the digital age -- why 'anonymous' is not enough. From technology to a wider view of governance—0
Modeling Techniques for Machine Learning Fairness: A Survey—0
Fair-SSL: Building fair ML Software with less dataCode0
Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities—0
Towards Fairness-Aware Federated Learning—0
Strategyproof and Proportionally Fair Facility Location—0
Semi-automatic Triage of Requests for Free Legal Assistance—0
Unintended Selection: Persistent Qualification Rate Disparities and Interventions—0
Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence—0
Can We Improve Model Robustness through Secondary Attribute Counterfactuals?—0
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank—0
Low-Cost Algorithmic Recourse for Users With Uncertain Cost FunctionsCode0
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All datasetsBAF – BaseBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VDiveFaceMORPHUTKFace

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