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Fairness

Papers

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Showing 1301–1350 of 5676 papers

TitleStatusHype
What is Fair? Defining Fairness in Machine Learning for HealthCode0
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice modelsCode0
Fairwalk: Towards fair graph embeddingCode0
Fairwashing: the risk of rationalizationCode0
Equal Experience in Recommender SystemsCode0
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainabilityCode0
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray ImagesCode0
Equal Improvability: A New Fairness Notion Considering the Long-term ImpactCode0
FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion GenerationCode0
FARA: Future-aware Ranking Algorithm for Fairness OptimizationCode0
Equalizing Gender Biases in Neural Machine Translation with Word Embeddings TechniquesCode0
Estimating and Improving Fairness with Adversarial LearningCode0
FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive AttributesCode0
Fairly Constricted Multi-Objective Particle Swarm OptimizationCode0
Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image SynthesisCode0
Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition ModelsCode0
Auditing Fairness by BettingCode0
Data Stream Sampling with Fuzzy Task Boundaries and Noisy LabelsCode0
Enumerating Fair Packages for Group RecommendationsCode0
Enrolment-based personalisation for improving individual-level fairness in speech emotion recognitionCode0
Enhancing the Accuracy and Fairness of Human Decision MakingCode0
Ensuring Fairness Beyond the Training DataCode0
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender SystemsCode0
Enhancing New-item Fairness in Dynamic Recommender SystemsCode0
DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer LearningCode0
FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated LearningCode0
Enhancing Model Robustness and Fairness with Causality: A Regularization ApproachCode0
Enhancing Robust Fairness via Confusional Spectral RegularizationCode0
Enhancing Group Fairness in Online Settings Using Oblique Decision ForestsCode0
Disparate Vulnerability to Membership Inference AttacksCode0
Achieving Counterfactual Fairness with Imperfect Structural Causal ModelCode0
EqGNN: Equalized Node Opportunity in GraphsCode0
Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under SufficiencyCode0
De-biasing "bias" measurementCode0
Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I NetworksCode0
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing MethodsCode0
Empirical Risk Minimization under Fairness ConstraintsCode0
Endowing Pre-trained Graph Models with Provable FairnessCode0
Enhancing Fairness in Unsupervised Graph Anomaly Detection through DisentanglementCode0
A Unified Debiasing Approach for Vision-Language Models across Modalities and TasksCode0
Flexible and Robust Counterfactual Explanations with Minimal Satisfiable PerturbationsCode0
FairICP: Encouraging Equalized Odds via Inverse Conditional PermutationCode0
Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMsCode0
Embracing Fairness in Consumer Electricity Markets using an Automatic Market MakerCode0
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding SpacesCode0
An Algorithmic Framework for Fairness ElicitationCode0
Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering SystemsCode0
Enhancing Fairness of Visual Attribute PredictorsCode0
FROC: Building Fair ROC from a Trained ClassifierCode0
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision SystemsCode0
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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