SOTAVerified

Fairness

Papers

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Showing 1601–1650 of 5676 papers

TitleStatusHype
Efficient candidate screening under multiple tests and implications for fairness—0
A survey of recent methods for addressing AI fairness and bias in biomedicine—0
AdapShare: An RL-Based Dynamic Spectrum Sharing Solution for O-RAN—0
Efficient Device Scheduling with Multi-Job Federated Learning—0
Efficient DNN-Powered Software with Fair Sparse Models—0
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy—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
Equalized Robustness: Towards Sustainable Fairness Under Distributional Shifts—0
Efficient Gender Debiasing of Pre-trained Indic Language Models—0
Efficient k-means with Individual Fairness via Exponential Tilting—0
Equalizing Financial Impact in Supervised Learning—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
Convex Fairness Constrained Model Using Causal Effect Estimators—0
Efficient Model-Agnostic Multi-Group Equivariant Networks—0
Converging Radar and Communications in the Superposition Transmission—0
Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring—0
A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View—0
An Efficient Framework for Crediting Data Contributors of Diffusion Models—0
Beyond Submodularity: A Unified Framework of Randomized Set Selection with Group Fairness Constraints—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
Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning—0
An Algorithmic Framework for Bias Bounties—0
ELAB: Extensive LLM Alignment Benchmark in Persian Language—0
A Survey of NOMA: State of the Art, Key Techniques, Open Challenges, Security Issues and Future Trends—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
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey—0
AI Data Development: A Scorecard for the System Card Framework—0
Convergence of Spectral Principal Paths: How Deep Networks Distill Linear Representations from Noisy Inputs—0
Eliminating Latent Discrimination: Train Then Mask—0
Controlled Mobility for C-V2X Road Safety Reception Optimization—0
_p Testing and Learning of Discrete Distributions—0
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis—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
Bias and Fairness in Chatbots: An Overview—0
Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research—0
Bias and Fairness in Computer Vision Applications of the Criminal Justice System—0
AdapFair: Ensuring Continuous Fairness for Machine Learning Operations—0
Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI—0
Bias and Fairness on Multimodal Emotion Detection Algorithms—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
Weighted Envy-Freeness in Indivisible Item Allocation—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