SOTAVerified

Fairness

Papers

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Showing 4426–4450 of 5676 papers

TitleStatusHype
NFRs in Medical Imaging—0
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning—0
Niyama : Breaking the Silos of LLM Inference Serving—0
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging—0
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users—0
Noise-Aware and Equitable Urban Air Traffic Management: An Optimization Approach—0
Noisy Linear Convergence of Stochastic Gradient Descent for CV@R Statistical Learning under Polyak-Łojasiewicz Conditions—0
No Location Left Behind: Measuring and Improving the Fairness of Implicit Representations for Earth Data—0
Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions—0
Non-convex Optimization for Learning a Fair Predictor under Equalized Loss Fairness Constraint—0
Non-Cooperative Game Theory Based Rate Adaptation for Dynamic Video Streaming over HTTP—0
Non-Invasive Fairness in Learning through the Lens of Data Drift—0
Multi-objective Reinforcement Learning with Nonlinear Preferences: Provable Approximation for Maximizing Expected Scalarized Return—0
No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation—0
No-regret Algorithms for Fair Resource Allocation—0
Towards Energy-Aware Federated Learning on Battery-Powered ClientsCode0
Measuring Interventional Robustness in Reinforcement LearningCode0
Achieving Distributive Justice in Federated Learning via Uncertainty QuantificationCode0
Political Neutrality in AI Is Impossible- But Here Is How to Approximate ItCode0
Salus: Fine-Grained GPU Sharing Primitives for Deep Learning ApplicationsCode0
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated LearningCode0
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node InjectionsCode0
Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied EdgesCode0
Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation ClassifiersCode0
Threshold-Independent Fair Matching through Score CalibrationCode0
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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