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Fairness

Papers

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Showing 4751–4800 of 5676 papers

TitleStatusHype
Exploring Multilingual Text Data DistillationCode0
Exploring Neural Joint Activity in Spiking Neural Networks for Fraud DetectionCode0
Causal Modeling for Fairness in Dynamical SystemsCode0
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced LearningCode0
Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUFCode0
Distraction is All You Need for FairnessCode0
Human-Algorithm Collaboration: Achieving Complementarity and Avoiding UnfairnessCode0
Human-in-the-loop Fairness: Integrating Stakeholder Feedback to Incorporate Fairness Perspectives in Responsible AICode0
Exploring the Impact of Temporal Bias in Point-of-Interest RecommendationCode0
Multiaccuracy: Black-Box Post-Processing for Fairness in ClassificationCode0
Causally motivated Shortcut Removal Using Auxiliary LabelsCode0
Measuring Non-Expert Comprehension of Machine Learning Fairness MetricsCode0
Human-Guided Fair Classification for Natural Language ProcessingCode0
Verifying Tree Ensembles by Reasoning about Potential InstancesCode0
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing ApproachCode0
Automating Data Annotation under Strategic Human Agents: Risks and Potential SolutionsCode0
Expressive Monotonic Neural NetworksCode0
Automatic Feature Fairness in Recommendation via AdversariesCode0
Multi-agent Multi-armed Bandits with Minimum Reward Guarantee FairnessCode0
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group FairnessCode0
hyperFA*IR: A hypergeometric approach to fair rankings with finite candidate poolCode0
Distinguishing rule- and exemplar-based generalization in learning systemsCode0
Shapelet-Based Counterfactual Explanations for Multivariate Time SeriesCode0
Faces of Fairness: Examining Bias in Facial Expression Recognition Datasets and ModelsCode0
Are Models Biased on Text without Gender-related Language?Code0
Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine LearningCode0
Finding Counterfactual Evidences for Node ClassificationCode0
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node ClassificationCode0
FaceX: Understanding Face Attribute Classifiers through Summary Model ExplanationsCode0
ProFairRec: Provider Fairness-aware News RecommendationCode0
FACROC: a fairness measure for FAir Clustering through ROC curvesCode0
CuTS: Customizable Tabular Synthetic Data GenerationCode0
Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related QueriesCode0
Unveiling Fairness Biases in Deep Learning-Based Brain MRI ReconstructionCode0
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated LearningCode0
Promoting Fairness and Diversity in Speech Datasets for Mental Health and Neurological Disorders ResearchCode0
AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain SecurityCode0
FADE: FAir Double Ensemble Learning for Observable and Counterfactual OutcomesCode0
Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information RetrievalCode0
Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias ElicitationCode0
FAHT: An Adaptive Fairness-aware Decision Tree ClassifierCode0
Whose Side Are You On? Investigating the Political Stance of Large Language ModelsCode0
DispaRisk: Auditing Fairness Through Usable InformationCode0
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi MeasuresCode0
Fair Active LearningCode0
Fair Active LearningCode0
Prompting Fairness: Artificial Intelligence as Game PlayersCode0
Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias AnalysisCode0
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classificationCode0
FairAdapter: Detecting AI-generated Images with Improved FairnessCode0
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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