SOTAVerified

Fairness

Papers

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Showing 3026–3050 of 5676 papers

TitleStatusHype
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint—0
Fairness-guided Few-shot Prompting for Large Language Models—0
Semantic Image Attack for Visual Model Diagnosis—0
HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach—0
Fairness: from the ethical principle to the practice of Machine Learning development as an ongoing agreement with stakeholders—0
Fairness Improves Learning from Noisily Labeled Long-Tailed Data—0
Counterfactually Fair Regression with Double Machine Learning—0
Bias mitigation techniques in image classification: fair machine learning in human heritage collections—0
Bridging the Global Divide in AI Regulation: A Proposal for a Contextual, Coherent, and Commensurable Framework—0
Fairness-Aware Graph Filter Design—0
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative ModelsCode0
DeAR: Debiasing Vision-Language Models with Additive Residuals—0
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness—0
Fairness-aware Differentially Private Collaborative Filtering—0
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classificationCode0
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML—0
Fair Off-Policy Learning from Observational Data—0
A Study on Bias and Fairness In Deep Speaker Recognition—0
Graph Neural Network Surrogates of Fair Graph Filtering—0
Beyond Demographic Parity: Redefining Equal Treatment—0
Addressing Biases in the Texts using an End-to-End Pipeline Approach—0
Collision Cross-entropy for Soft Class Labels and Deep Clustering—0
Are Models Trained on Indian Legal Data Fair?—0
P-MMF: Provider Max-min Fairness Re-ranking in Recommender SystemCode0
No-regret Algorithms for Fair Resource Allocation—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