SOTAVerified

Fairness

Papers

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Showing 2551–2575 of 5676 papers

TitleStatusHype
Beyond Fairness: Age-Harmless Parkinson's Detection via Voice—0
Penalties and Rewards for Fair Learning in Paired Kidney Exchange Programs—0
FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing—0
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments—0
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework—0
Using Property Elicitation to Understand the Impacts of Fairness Regularizers—0
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER)—0
Fairness Hub Technical Briefs: AUC Gap—0
KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task LearningCode0
Towards Measuring Fairness in Grid Layout in Recommender Systems—0
Predictive Uncertainty-based Bias Mitigation in RankingCode0
DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image ModelsCode0
Do Large GPT Models Discover Moral Dimensions in Language Representations? A Topological Study Of Sentence Embeddings—0
Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization -- A Reproducibility Study—0
Bias and Fairness in Chatbots: An Overview—0
Indian-BhED: A Dataset for Measuring India-Centric Biases in Large Language ModelsCode0
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources—0
Boosting Fair Classifier Generalization through Adaptive Priority ReweighingCode0
Grid-Aware On-Route Fast-Charging Infrastructure Planning for Battery Electric Bus with Equity Considerations: A Case Study in South King CountyCode0
Mitigating Group Bias in Federated Learning for Heterogeneous Devices—0
Data Augmentation via Subgroup Mixup for Improving Fairness—0
Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems—0
Optimal and Fair Encouragement Policy Evaluation and Learning—0
Not obviously manipulable allotment rules—0
A Sequentially Fair Mechanism for Multiple Sensitive AttributesCode0
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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