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Fairness

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Showing 1801–1850 of 5676 papers

TitleStatusHype
Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and RelevanceCode0
FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated LearningCode0
Understanding Intrinsic Socioeconomic Biases in Large Language Models—0
Low-rank finetuning for LLMs: A fairness perspective—0
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training—0
Hate Speech Detection with Generalizable Target-aware FairnessCode0
Back to the Drawing Board for Fair Representation Learning—0
The Impossibility of Fair LLMs—0
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions—0
Towards Clinical AI Fairness: Filling Gaps in the Puzzle—0
Learn to be Fair without Labels: a Distribution-based Learning Framework for Fair Ranking—0
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing—0
On Fairness of Low-Rank Adaptation of Large ModelsCode0
Probabilistic Verification of Neural Networks using Branch and BoundCode0
FUGNN: Harmonizing Fairness and Utility in Graph Neural NetworksCode0
Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten—0
Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations—0
A Mobility Equity Metric for Multi-Modal Intelligent Transportation Systems—0
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows—0
Conditioning on Time is All You Need for Synthetic Survival Data GenerationCode0
Causal Concept Graph Models: Beyond Causal Opacity in Deep LearningCode0
Revisit, Extend, and Enhance Hessian-Free Influence Functions—0
Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach—0
GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction—0
The Impact and Opportunities of Generative AI in Fact-Checking—0
A3:Ambiguous Aberrations Captured via Astray-Learning for Facial Forgery Semantic Sublimation—0
Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness—0
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making—0
Fairness-Accuracy Trade-Offs: A Causal PerspectiveCode0
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure—0
Local Causal Discovery for Structural Evidence of Direct DiscriminationCode0
Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias—0
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift—0
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results—0
Conformal Classification with Equalized Coverage for Adaptively Selected GroupsCode0
A Uniform Concentration Inequality for Kernel-Based Two-Sample Statistics—0
Perceptual Fairness in Image Restoration—0
Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning—0
Improving Fairness and Mitigating MADness in Generative Models—0
Mutatis Mutandis: Revisiting the Comparator in Discrimination TestingCode0
Fair Online Bilateral Trade—0
FairLENS: Assessing Fairness in Law Enforcement Speech Recognition—0
Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques—0
DispaRisk: Auditing Fairness Through Usable InformationCode0
Assessing Group Fairness with Social Welfare Optimization—0
Testing the Performance of Face Recognition for People with Down Syndrome—0
Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models—0
A Polynomial-Time Approximation for Pairwise Fair k-Median Clustering—0
Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for Equitable Skin Analysis—0
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models PromptlyCode0
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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