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Fairness

Papers

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Showing 1501–1550 of 5676 papers

TitleStatusHype
Fair Graph Representation Learning via Sensitive Attribute DisentanglementCode0
Fairness in Reinforcement Learning: A Survey—0
Bridging the Gap: Protocol Towards Fair and Consistent Affect AnalysisCode0
Advantageous and disadvantageous inequality aversion can be taught through vicarious learning of others' preferences—0
Is the panel fair? Evaluating panel compositions through network analysis. The case of research assessments in Italy—0
Fair Mixed Effects Support Vector MachineCode0
Aequitas Flow: Streamlining Fair ML ExperimentationCode4
Trustworthy AI-Generative Content for Intelligent Network Service: Robustness, Security, and Fairness—0
Mitigating Bias Using Model-Agnostic Data Attribution—0
Testing the Fairness-Accuracy Improvability of Algorithms—0
LLMs with Personalities in Multi-issue Negotiation Games—0
The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring—0
Beyond human subjectivity and error: a novel AI grading system—0
A Unified Post-Processing Framework for Group Fairness in ClassificationCode1
Differentially Private Post-Processing for Fair RegressionCode0
Hire Me or Not? Examining Language Model's Behavior with Occupation AttributesCode0
FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models—0
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems—0
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning—0
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System—0
The Trade-off between Performance, Efficiency, and Fairness in Adapter Modules for Text Classification—0
How to Diversify any Personalized Recommender? A User-centric Pre-processing approach—0
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks—0
Multi-Objective Recommendation via Multivariate Policy LearningCode0
Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization—0
Learning under Imitative Strategic Behavior with Unforeseeable OutcomesCode0
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization ApproachCode0
Language Fairness in Multilingual Information RetrievalCode0
Type2Branch: Keystroke Biometrics based on a Dual-branch Architecture with Attention Mechanisms and Set2set Loss—0
Individual Fairness Through Reweighting and Tuning—0
Non-iterative Optimization of Trajectory and Radio Resource for Aerial NetworkCode0
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?—0
Are Models Biased on Text without Gender-related Language?Code0
Multigroup Robustness—0
Neural Dynamic Data Valuation—0
Fairness Without Demographics in Human-Centered Federated Learning—0
Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNsCode0
FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups—0
Predicting Fairness of ML Software Configurations—0
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle—0
Bias Neutralization Framework: Measuring Fairness in Large Language Models with Bias Intelligence Quotient (BiQ)—0
Learning Fairer Representations with FairVIC—0
A Comparison of Differential Performance Metrics for the Evaluation of Automatic Speaker Verification Fairness—0
FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data—0
A Taxation Perspective for Fair Re-rankingCode0
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness MatchingCode1
Algorithmic Fairness: A Tolerance Perspective—0
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks—0
Lazy Data Practices Harm Fairness ResearchCode0
FairGT: A Fairness-aware Graph TransformerCode0
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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