SOTAVerified

Fairness

Papers

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Showing 1376–1400 of 5676 papers

TitleStatusHype
Deep Learning Aided Beamforming for Downlink Non-Orthogonal Multiple Access Systems—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications—0
Deep Learning-based Power Control for Cell-Free Massive MIMO Networks—0
Deep Learning feature selection to unhide demographic recommender systems factors—0
Deep Learning in the Field of Biometric Template Protection: An Overview—0
Deep Learning Meets Mechanism Design: Key Results and Some Novel Applications—0
Deep Learning of Intrinsically Motivated Options in the Arcade Learning Environment—0
AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias—0
Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes—0
Deep Reinforcement Learning-Based User Association in Hybrid LiFi/WiFi Indoor Networks—0
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources—0
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information—0
Defining and Evaluating Fair Natural Language Generation—0
Defining bias in AI-systems: Biased models are fair models—0
Defining the Collective Intelligence Supply Chain—0
Coping with Mistreatment in Fair Algorithms—0
Degradation-Infused Energy Portfolio Allocation Framework: Risk-Averse Fair Storage Participation—0
COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning—0
Deletion-Robust Submodular Maximization at Scale—0
A Survey on Bias and Fairness in Natural Language Processing—0
Demand-Aware Beam Hopping and Power Allocation for Load Balancing in Digital Twin empowered LEO Satellite Networks—0
Democratize with Care: The need for fairness specific features in user-interface based open source AutoML tools—0
Adaptation Speed Analysis for Fairness-aware Causal Models—0
Demographic Fairness in Biometric Systems: What do the Experts say?—0
Avoiding Disparity Amplification under Different Worldviews—0
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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