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Fairness

Papers

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Showing 5101–5150 of 5676 papers

TitleStatusHype
Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing—0
Unambiguous Efficiency of Random Allocations—0
Efficiency, Sequenceability and Deal-Optimality in Fair Division of Indivisible Goods—0
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models—0
Efficient candidate screening under multiple tests and implications for fairness—0
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms—0
Efficient Device Scheduling with Multi-Job Federated Learning—0
Efficient DNN-Powered Software with Fair Sparse Models—0
Efficient Fairness-Performance Pareto Front Computation—0
Efficient Fairness Testing in Large Language Models: Prioritizing Metamorphic Relations for Bias Detection—0
Efficient Fair Principal Component Analysis—0
Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance—0
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection—0
Efficient Gender Debiasing of Pre-trained Indic Language Models—0
Efficient k-means with Individual Fairness via Exponential Tilting—0
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning—0
Efficient Major Transition Exchange under Distributional and Dual Priority-respecting Constraints—0
Efficient Mining Cluster Selection for Blockchain-based Cellular V2X Communications—0
Efficient Model-Agnostic Multi-Group Equivariant Networks—0
Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring—0
Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits—0
An Efficient Framework for Crediting Data Contributors of Diffusion Models—0
Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect—0
Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics—0
EFX Allocations Exist for Binary Valuations—0
EiFFFeL: Enforcing Fairness in Forests by Flipping Leaves—0
ELAB: Extensive LLM Alignment Benchmark in Persian Language—0
Electricity grid tariffs for electrification in households: Bridging the gap between cross-subsidies and fairness—0
Electricity Tariff Design via Lens of Energy Justice—0
Eliminating Latent Discrimination: Train Then Mask—0
_p Testing and Learning of Discrete Distributions—0
Embedding Cultural Diversity in Prototype-based Recommender Systems—0
Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems—0
Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research—0
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs—0
Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI—0
Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning—0
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing—0
Enactive Artificial Intelligence: Subverting Gender Norms in Robot-Human Interaction—0
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization—0
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models—0
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty—0
End-to-end Learning for Fair Ranking Systems—0
End-to-End Optimization and Learning of Fair Court Schedules—0
Energy-Efficient Cell-Free Massive MIMO with Wireless Fronthaul—0
Energy Efficient Fair STAR-RIS for Mobile Users—0
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation—0
Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer—0
Enforcing Delayed-Impact Fairness Guarantees—0
Enforcing Equity in Neural Climate Emulators—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