SOTAVerified

Fairness

Papers

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Showing 2001–2025 of 5676 papers

TitleStatusHype
A Brief Tutorial on Sample Size Calculations for Fairness AuditsCode0
On the Impact of Multi-dimensional Local Differential Privacy on FairnessCode0
Stochastic-Constrained Stochastic Optimization with Markovian Data—0
SoK: Unintended Interactions among Machine Learning Defenses and RisksCode0
Temporal Fairness in Multiwinner Voting—0
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing—0
On The Fairness Impacts of Hardware Selection in Machine Learning—0
Fairness and Deception in Human Interactions with Artificial Agents—0
Seller-side Outcome Fairness in Online Marketplaces—0
f-FERM: A Scalable Framework for Robust Fair Empirical Risk MinimizationCode0
Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service—0
Algorithmic Fairness with Feedback—0
DP-SGD-Global-Adapt-V2-S: Triad Improvements of Privacy, Accuracy and Fairness via Step Decay Noise Multiplier and Step Decay Upper Clipping Threshold—0
FRAPPE: A Group Fairness Framework for Post-Processing Everything—0
Multitask Learning Can Improve Worst-Group OutcomesCode0
Inspecting Model Fairness in Ultrasound Segmentation Tasks—0
Detecting algorithmic bias in medical-AI models using trees—0
Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence—0
Risk-Controlling Model Selection via Guided Bayesian Optimization—0
Developing Linguistic Patterns to Mitigate Inherent Human Bias in Offensive Language DetectionCode0
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies—0
Towards Mitigating Perceived Unfairness in Contracts from a Non-Legal Stakeholder's Perspective—0
Explaining Knock-on Effects of Bias Mitigation—0
Removing Biases from Molecular Representations via Information MaximizationCode1
Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?—0
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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