SOTAVerified

Fairness

Papers

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Showing 2101–2125 of 5676 papers

TitleStatusHype
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness—0
Fairness Without Harm: An Influence-Guided Active Sampling ApproachCode0
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions—0
Referee-Meta-Learning for Fast Adaptation of Locational Fairness—0
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation—0
OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning—0
Stable matching as transport—0
Bayesian Neural Networks with Domain Knowledge Priors—0
Fairness Risks for Group-conditionally Missing Demographics—0
GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks—0
Toward Fairness via Maximum Mean Discrepancy Regularization on Logits Space—0
Causal Equal Protection as Algorithmic Fairness—0
FairProof : Confidential and Certifiable Fairness for Neural NetworksCode0
Endowing Pre-trained Graph Models with Provable FairnessCode0
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation—0
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness—0
Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One—0
AI Fairness in Practice—0
ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMsCode0
Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection—0
Fair Classification with Partial Feedback: An Exploration-Based Data Collection ApproachCode0
Fair Resource Allocation in Virtualized O-RAN Platforms—0
The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjects—0
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning—0
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph ClusteringCode0
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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