SOTAVerified

Fairness

Papers

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Showing 1376–1400 of 5676 papers

TitleStatusHype
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language ModelsCode2
Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage DomainCode0
When is Multicalibration Post-Processing Necessary?Code0
Automating Food Drop: The Power of Two Choices for Dynamic and Fair Food Allocation—0
A Taxonomy of Challenges to Curating Fair Datasets—0
An Efficient Framework for Crediting Data Contributors of Diffusion Models—0
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human FeedbackCode0
Why Don't Prompt-Based Fairness Metrics Correlate?Code0
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach—0
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning—0
Measuring Fairness in Large-Scale Recommendation Systems with Missing Labels—0
Group-wise oracle-efficient algorithms for online multi-group learning—0
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition—0
A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions—0
Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models—0
Measuring and Addressing Indexical Bias in Information RetrievalCode0
Promoting Fairness and Diversity in Speech Datasets for Mental Health and Neurological Disorders ResearchCode0
Reconciling Heterogeneous Effects in Causal Inference—0
CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation FrameworkCode0
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness ReweightingCode0
On the Maximal Local Disparity of Fairness-Aware ClassifiersCode0
Reproducibility study of FairACCode0
Path-Specific Causal Reasoning for Fairness-aware Cognitive DiagnosisCode0
Evaluating AI fairness in credit scoring with the BRIO tool—0
On the Power of Randomization in Fair Classification and Representation—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