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Fairness

Papers

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Showing 3151–3200 of 5676 papers

TitleStatusHype
Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation—0
Reducing Latency by Eliminating CSIT Feedback: FDD Downlink MIMO Precoding Without CSIT Feedback for Internet-of-Things Communications—0
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation—0
Reducing Unintended Bias of ML Models on Tabular and Textual Data—0
Reexamining Racial Disparities in Automatic Speech Recognition Performance: The Role of Confounding by Provenance—0
Referee-Meta-Learning for Fast Adaptation of Locational Fairness—0
Refined Metrics, Sensing Limits, and Resource Allocation in OTFS-RSMA LEO ISAC—0
Reflexive Prompt Engineering: A Framework for Responsible Prompt Engineering and Interaction Design—0
Re-formalization of Individual Fairness—0
Reforms meet fairness concerns in school and college admissions—0
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values—0
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs—0
Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems—0
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach—0
Regret, stability & fairness in matching markets with bandit learners—0
Regularization Strategies for Quantile Regression—0
Regularized Online Allocation Problems: Fairness and Beyond—0
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money—0
Regularizing Fairness in Optimal Policy Learning with Distributional Targets—0
Regulating Cryptocurrency and Decentralized Finance for an Inclusive Economy—0
Regulating Gatekeeper AI and Data: Transparency, Access, and Fairness under the DMA, the GDPR, and beyond—0
Regulating Spatial Fairness in a Tripartite Micromobility Sharing System via Reinforcement Learning—0
Regulation Games for Trustworthy Machine Learning—0
Re-imagining Algorithmic Fairness in India and Beyond—0
Reinforced Workload Distribution Fairness—0
Reinforcement Learning-based Dynamic Service Placement in Vehicular Networks—0
Multi-agent Reinforcement Learning for Decentralized Stable Matching—0
Reinforcement Learning for Fair Dynamic Pricing—0
Reinforcement Learning for Protocol Synthesis in Resource-Constrained Wireless Sensor and IoT Networks—0
Reinforcement learning for traffic signal control in hybrid action space—0
Reinforcement Learning with Ex-Post Max-Min Fairness—0
Multi-Armed Bandits with Fairness Constraints for Distributing Resources to Human Teammates—0
Reinforcement Learning with Stepwise Fairness Constraints—0
Reinforcing Clinical Decision Support through Multi-Agent Systems and Ethical AI Governance—0
Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems—0
Reliability and Robustness of Transformers for Automated Short-Answer Grading—0
Reliability Testing for Natural Language Processing Systems—0
Remember, but also, Forget: Bridging Myopic and Perfect Recall Fairness with Past-Discounting—0
Improving Fairness and Mitigating MADness in Generative Models—0
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization—0
Rényi Fair Inference—0
Renyi Fair Information Bottleneck for Image Classification—0
Least kth-Order and Rényi Generative Adversarial Networks—0
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping—0
Representation and Bias in Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling—0
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations—0
Representative & Fair Synthetic Data—0
Representativity Fairness in Clustering—0
Reproducibility Study of Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation—0
Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model—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