SOTAVerified

Fairness

Papers

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Showing 1876–1900 of 5676 papers

TitleStatusHype
Generative AI Triggers Welfare-Reducing Decisions in Humans—0
Falcon: Fair Active Learning using Multi-armed BanditsCode0
Red Teaming Visual Language Models—0
DAFA: Distance-Aware Fair Adversarial TrainingCode0
LLpowershap: Logistic Loss-based Automated Shapley Values Feature Selection MethodCode0
Unambiguous Efficiency of Random Allocations—0
Graph Condensation: A SurveyCode2
A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray InterpretationCode3
Large-scale Reinforcement Learning for Diffusion Models—0
Long-Term Fair Decision Making through Deep Generative ModelsCode0
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms—0
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and RecencyCode0
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach—0
Mitigating Position Bias with Regularization for Recommender Systems—0
Towards providing reliable job completion time predictions using PCSCode0
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset—0
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning—0
Gender Bias in Machine Translation and The Era of Large Language Models—0
Enhancing the Fairness and Performance of Edge Cameras with Explainable AI—0
Biases in Expected Goals Models Confound Finishing Ability—0
Model Compression Techniques in Biometrics Applications: A SurveyCode0
A Novel Approach to Fair Power Allocation for NOMA in Visible Light Communication—0
Statistical Analysis and Optimization of a Fifth-Percentile User Rate Constrained Design for FFR/SFR-Aided OFDMA-Based Cellular Networks—0
Performance Analysis and Optimisation of FFR-Aided OFDMA Networks using Channel-Aware Scheduling—0
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender SystemsCode1
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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