SOTAVerified

Fairness

Papers

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Showing 1751–1775 of 5676 papers

TitleStatusHype
Automating Food Drop: The Power of Two Choices for Dynamic and Fair Food Allocation—0
A Taxonomy of Challenges to Curating Fair Datasets—0
When is Multicalibration Post-Processing Necessary?Code0
Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage DomainCode0
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning—0
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human FeedbackCode0
An Efficient Framework for Crediting Data Contributors of Diffusion Models—0
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach—0
Why Don't Prompt-Based Fairness Metrics Correlate?Code0
Group-wise oracle-efficient algorithms for online multi-group learning—0
Measuring Fairness in Large-Scale Recommendation Systems with Missing Labels—0
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition—0
Measuring and Addressing Indexical Bias in Information RetrievalCode0
Promoting Fairness and Diversity in Speech Datasets for Mental Health and Neurological Disorders ResearchCode0
Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models—0
A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions—0
Reproducibility study of FairACCode0
CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation FrameworkCode0
Evaluating AI fairness in credit scoring with the BRIO tool—0
Reconciling Heterogeneous Effects in Causal Inference—0
On the Maximal Local Disparity of Fairness-Aware ClassifiersCode0
Path-Specific Causal Reasoning for Fairness-aware Cognitive DiagnosisCode0
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness ReweightingCode0
On the Power of Randomization in Fair Classification and Representation—0
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node InjectionsCode0
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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