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Fairness

Papers

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Showing 1551–1600 of 5676 papers

TitleStatusHype
Estimating and Improving Fairness with Adversarial LearningCode0
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated LearningCode0
Benchmarking Intersectional Biases in NLPCode0
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and FairnessCode0
On Causally Disentangled RepresentationsCode0
DPER: Dynamic Programming for Exist-Random Stochastic SATCode0
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit RateCode0
Benchmarking the Fairness of Image Upsampling MethodsCode0
On Fairness and CalibrationCode0
On Fairness of Low-Rank Adaptation of Large ModelsCode0
On Formal Feature Attribution and Its ApproximationCode0
On Biased Behavior of GANs for Face VerificationCode0
Equalizing Gender Biases in Neural Machine Translation with Word Embeddings TechniquesCode0
Equal Opportunity in Online Classification with Partial FeedbackCode0
CLAIM: An Intent-Driven Multi-Agent Framework for Analyzing Manipulation in Courtroom DialoguesCode0
On Comparing Fair Classifiers under Data BiasCode0
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice modelsCode0
On the (In)Compatibility between Group Fairness and Individual FairnessCode0
Best Practices for Responsible Machine Learning in Credit ScoringCode0
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical ImagingCode0
Better Algorithms for Individually Fair k-ClusteringCode0
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data SubpopulationsCode0
Equipping Federated Graph Neural Networks with Structure-aware Group FairnessCode0
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model MultiplicityCode0
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design DecisionsCode0
Exploring Neural Joint Activity in Spiking Neural Networks for Fraud DetectionCode0
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training RefinementCode0
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision SystemsCode0
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender SystemsCode0
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated LearningCode0
Towards Energy-Aware Federated Learning on Battery-Powered ClientsCode0
Optimal Transport on Categorical Data for Counterfactuals using Compositional Data and Dirichlet TransportCode0
A General Approach for Computing a Consensus in Group Decision Making That Integrates Multiple Ethical PrinciplesCode0
EqGNN: Equalized Node Opportunity in GraphsCode0
Achieving Group Fairness through Independence in Predictive Process MonitoringCode0
Equal Experience in Recommender SystemsCode0
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node InjectionsCode0
Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied EdgesCode0
Pairwise Fairness for Ordinal RegressionCode0
Pantypes: Diverse Representatives for Self-Explainable ModelsCode0
Are You Getting What You Pay For? Auditing Model Substitution in LLM APIsCode0
Enumerating Fair Packages for Group RecommendationsCode0
Equal Improvability: A New Fairness Notion Considering the Long-term ImpactCode0
Enrolment-based personalisation for improving individual-level fairness in speech emotion recognitionCode0
ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMsCode0
Ensuring Fairness Beyond the Training DataCode0
A Causal Framework to Measure and Mitigate Non-binary Treatment DiscriminationCode0
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation ApproachCode0
Enhancing the Accuracy and Fairness of Human Decision MakingCode0
Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition ModelsCode0
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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