SOTAVerified

Fairness

Papers

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Showing 2951–2975 of 5676 papers

TitleStatusHype
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network PruningCode1
Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms—0
Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access—0
SACDNet: Towards Early Type 2 Diabetes Prediction with Uncertainty for Electronic Health Records—0
Proportional Fairness in Obnoxious Facility Location—0
Sequential Fair Resource Allocation under a Markov Decision Process Framework—0
A review of clustering models in educational data science towards fairness-aware learning—0
Causal Inference for Recommendation: Foundations, Methods and Applications—0
Fair Multi-Exit Framework for Facial Attribute Classification—0
IronForge: An Open, Secure, Fair, Decentralized Federated LearningCode0
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms—0
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal RepresentationsCode0
Attribute-Centric Compositional Text-to-Image Generation—0
Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible AI Engineering Approach—0
FATE in AI: Towards Algorithmic Inclusivity and Accessibility—0
Graphical House Allocation—0
RELIANT: Fair Knowledge Distillation for Graph Neural NetworksCode0
Fairness Guaranteed and Auction-based x-haul and Cloud Resource Allocation in Multi-tenant O-RANs—0
Fairness and Effectiveness in Federated Learning on Non-independent and Identically Distributed Data—0
Towards Fairness-aware Adversarial Network Pruning—0
Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues—0
Federated Domain Generalization With Generalization AdjustmentCode1
Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight TrainingCode1
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models—0
Detection of Groups with Biased Representation in Ranking—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