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Fairness

Papers

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Showing 2851–2900 of 5676 papers

TitleStatusHype
Emerging Synergies in Causality and Deep Generative Models: A Survey—0
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation—0
On the Power of Randomization in Fair Classification and Representation—0
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning—0
On the relation between accuracy and fairness in binary classification—0
On the Relationship Between Explanations, Fairness Perceptions, and Decisions—0
Mitigating fairwashing using Two-Source Audits—0
On the Reliability of Test Collections for Evaluating Systems of Different Types—0
On the Richness of Calibration—0
On the Sum Rate and User Fairness of STAR-RIS Aided Communications—0
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook—0
On the Vulnerability of Fairness Constrained Learning to Malicious Noise—0
Ontologies for increasing the FAIRness of plant research data—0
Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications—0
Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next—0
OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning—0
Open Long-Tailed Recognition in a Dynamic World—0
Open Conversational LLMs do not know most Spanish words—0
Operationalising Rawlsian Ethics for Fairness in Norm-Learning Agents—0
Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible AI Engineering Approach—0
Operationalizing Individual Fairness with Pairwise Fair Representations—0
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers—0
Opportunistic Multi-aspect Fairness through Personalized Re-ranking—0
OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning—0
Near-Optimal Algorithms for Group Distributionally Robust Optimization and Beyond—0
Optimal and Fair Encouragement Policy Evaluation and Learning—0
Optimal Budget Aggregation with Star-Shaped Preferences—0
Optimal Decision Diagrams for Classification—0
Optimal Hybrid Transmit Beamforming for mm-Wave Integrated Sensing and Communication—0
Optimal Multi-Distribution Learning—0
Optimal Pre-Processing to Achieve Fairness and Its Relationship with Total Variation Barycenter—0
Optimal Training of Fair Predictive Models—0
Optimal Transport for Fairness: Archival Data Repair using Small Research Data Sets—0
Evaluating Online Bandit Exploration In Large-Scale Recommender System—0
Optimization of Rate Fairness in Multi-Pair Wireless-Powered Relaying Systems—0
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals—0
Optimizing Connectivity and Scheduling of Near/Far Field Users in Massive MIMO NOMA System—0
Optimizing generalized Gini indices for fairness in rankings—0
Optimizing Generalized Rate Metrics through Game Equilibrium—0
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach—0
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning—0
Optimizing Rankings for Recommendation in Matching Markets—0
Optimizing Student Ability Assessment: A Hierarchy Constraint-Aware Cognitive Diagnosis Framework for Educational Contexts—0
Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems—0
Oracle Efficient Online Multicalibration and Omniprediction—0
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors—0
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"—0
Test-Time Fairness and Robustness in Large Language Models—0
Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning—0
Output Perturbation for Differentially Private Convex Optimization: Faster and More General—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