SOTAVerified

Fairness

Papers

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Showing 1551–1575 of 5676 papers

TitleStatusHype
LEAD: Towards Learning-Based Equity-Aware Decarbonization in Ridesharing Platforms—0
The Fairness-Quality Trade-off in Clustering—0
Using ChatGPT to Score Essays and Short-Form Constructed Responses—0
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously—0
Fairness-Aware Streaming Feature Selection with Causal GraphsCode0
When Prompting Fails to Sway: Inertia in Moral and Value Judgments of Large Language ModelsCode0
A Multivocal Literature Review on Privacy and Fairness in Federated Learning—0
Mitigating Degree Bias in Signed Graph Neural Networks—0
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes—0
Federated Fairness Analytics: Quantifying Fairness in Federated LearningCode0
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuningCode0
Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection—0
Meta-Learning for Federated Face Recognition in Imbalanced Data Regimes—0
Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive AttributesCode0
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models—0
Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning SystemsCode0
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarningCode0
The Data Addition DilemmaCode0
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation—0
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness—0
Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading BanditsCode0
New fairness criteria for truncated ballots in multi-winner ranked-choice electionsCode0
Multimodal Gender Fairness in Depression Prediction: Insights on Data from the USA & China—0
Editable Fairness: Fine-Grained Bias Mitigation in Language Models—0
AutoFAIR : Automatic Data FAIRification via Machine Reading—0
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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