SOTAVerified

Fairness

Papers

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Showing 551–575 of 5676 papers

TitleStatusHype
An Unsupervised Approach towards Varying Human Skin Tone Using Generative Adversarial Networks—0
Abstract Interpretation-Based Feature Importance for SVMs—0
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis—0
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing—0
Anti-jamming Transmission of Downlink Cell Free Millimeter-Wave MIMO System—0
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification—0
AestheticNet: Reducing bias in facial data sets under ethical considerations—0
Antenna Health-Aware Selective Beamforming for Hardware-Constrained DFRC Systems I—0
An Overview of Large Language Models for Statisticians—0
Abstracting Fairness: Oracles, Metrics, and Interpretability—0
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline—0
Fair Active Learning: Solving the Labeling Problem in Insurance—0
A Novel Terabit Grid-of-Beam Optical Wireless Multi-User Access Network with Beam Clustering—0
A Novel Regularization Approach to Fair ML—0
Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformity—0
Unified Adversarial Invariance—0
A Novel NOMA Solution with RIS Partitioning—0
A novel initialisation based on hospital-resident assignment for the k-modes algorithm—0
Adversarial Testing in LLMs: Insights into Decision-Making Vulnerabilities—0
A Novel Approach to Fair Power Allocation for NOMA in Visible Light Communication—0
A Novel Approach to Fairness in Automated Decision-Making using Affective Normalization—0
Adversarial Stacked Auto-Encoders for Fair Representation Learning—0
A Complete Criterion for Value of Information in Soluble Influence Diagrams—0
Adversarial Scrutiny of Evidentiary Statistical Software—0
A Notion of Individual Fairness for Clustering—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