SOTAVerified

Fairness

Papers

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Showing 1151–1175 of 5676 papers

TitleStatusHype
Fairness Under Cover: Evaluating the Impact of Occlusions on Demographic Bias in Facial RecognitionCode0
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously—0
Using ChatGPT to Score Essays and Short-Form Constructed Responses—0
Fairness-Aware Streaming Feature Selection with Causal GraphsCode0
PADetBench: Towards Benchmarking Physical Attacks against Object DetectionCode1
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes—0
A Multivocal Literature Review on Privacy and Fairness in Federated Learning—0
When Prompting Fails to Sway: Inertia in Moral and Value Judgments of Large Language ModelsCode0
Mitigating Degree Bias in Signed Graph Neural Networks—0
Federated Fairness Analytics: Quantifying Fairness in Federated LearningCode0
Meta-Learning for Federated Face Recognition in Imbalanced Data Regimes—0
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
Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive AttributesCode0
Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning SystemsCode0
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models—0
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarningCode0
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
The Data Addition DilemmaCode0
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation—0
Editable Fairness: Fine-Grained Bias Mitigation in Language Models—0
AutoFAIR : Automatic Data FAIRification via Machine Reading—0
Multimodal Gender Fairness in Depression Prediction: Insights on Data from the USA & China—0
New fairness criteria for truncated ballots in multi-winner ranked-choice electionsCode0
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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