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Fairness

Papers

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Showing 3851–3900 of 5676 papers

TitleStatusHype
To train or not to train adversarially: A study of bias mitigation strategies for speaker recognitionCode0
Measuring Fairness of Text Classifiers via Prediction Sensitivity—0
Distraction is All You Need for FairnessCode0
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model MultiplicityCode0
Repairing Regressors for Fair Binary Classification at Any Decision Threshold—0
Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a Pre-Existing Pipeline—0
Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing—0
Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model—0
Identifiability of Causal-based Fairness Notions: A State of the Art—0
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach—0
Assessing Phenotype Definitions for Algorithmic Fairness—0
Renyi Fair Information Bottleneck for Image Classification—0
Evaluating Proposed Fairness Models for Face Recognition Algorithms—0
Downstream Fairness Caveats with Synthetic Healthcare Data—0
Data Representativity for Machine Learning and AI Systems—0
The Long Arc of Fairness: Formalisations and Ethical Discourse—0
Switching in the Rain: Predictive Wireless x-haul Network Reconfiguration—0
A Survey on Bias and Fairness in Natural Language Processing—0
Towards a Responsible AI Development Lifecycle: Lessons From Information Security—0
The Impact of Differential Privacy on Group Disparity MitigationCode0
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis—0
Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models—0
Low-Degree Multicalibration—0
Implications of Distance over Redistricting Maps: Central and Outlier Maps—0
Sampling Ex-Post Group-Fair RankingsCode0
Neuro-Symbolic Verification of Deep Neural NetworksCode0
Explainability for identification of vulnerable groups in machine learning models—0
Selection, Ignorability and Challenges With Causal Fairness—0
Are Big Recommendation Models Fair to Cold Users?—0
Fast Feature Selection with Fairness Constraints—0
Setting Fair Incentives to Maximize Improvement—0
KL Divergence Estimation with Multi-group AttributionCode0
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation—0
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations—0
The Unfairness of Popularity Bias in Book RecommendationCode0
The Unfairness of Active Users and Popularity Bias in Point-of-Interest RecommendationCode0
On Learning and Testing of Counterfactual Fairness through Data Preprocessing—0
se-Shweshwe Inspired Fashion Generation—0
A Fair Pricing Model via Adversarial Learning—0
Attainability and Optimality: The Equalized Odds Fairness Revisited—0
A Fair Empirical Risk Minimization with Generalized EntropyCode0
Exploring the Unfairness of DP-SGD Across Settings—0
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features—0
Improving fairness in speaker verification via Group-adapted Fusion NetworkCode0
A Complete Criterion for Value of Information in Soluble Influence Diagrams—0
The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices—0
Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace—0
Speciesist bias in AI -- How AI applications perpetuate discrimination and unfair outcomes against animals—0
Sensing as a Service in 6G Perceptive Networks: A Unified Framework for ISAC Resource Allocation—0
Bayes-Optimal Classifiers under Group 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