SOTAVerified

Fairness

Papers

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Showing 1051–1075 of 5676 papers

TitleStatusHype
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools—0
Fair Anomaly Detection For Imbalanced Groups—0
Unveiling and Mitigating Bias in Large Language Model Recommendations: A Path to Fairness—0
A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach—0
Fairness, not Emotion, Drives Socioeconomic Decision Making—0
Trustworthiness in Retrieval-Augmented Generation Systems: A SurveyCode1
MusicLIME: Explainable Multimodal Music UnderstandingCode1
Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models—0
A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View—0
LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels—0
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning—0
Enhancing transparency in AI-powered customer engagement—0
Batched Online Contextual Sparse Bandits with Sequential Inclusion of Features—0
Promoting Fairness in Link Prediction with Graph Enhancement—0
Fair CoVariance Neural Networks—0
SIG: A Synthetic Identity Generation Pipeline for Generating Evaluation Datasets for Face Recognition—0
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning—0
Still More Shades of Null: An Evaluation Suite for Responsible Missing Value ImputationCode0
Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation—0
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems—0
Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks—0
UPCS: Unbiased Persona Construction for Dialogue Generation—0
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency—0
PatchAlign:Fair and Accurate Skin Disease Image Classification by Alignment with Clinical LabelsCode1
Influence-based Attributions can be ManipulatedCode0
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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