SOTAVerified

Fairness

Papers

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Showing 4751–4800 of 5676 papers

TitleStatusHype
Fair Combinatorial Auction for Blockchain Trade Intents: Being Fair without Knowing What is Fair—0
Combinatorial Sleeping Bandits with Fairness Constraints—0
Combining Adversaries with Anti-adversaries in Training—0
Combining Machine Learning Defenses without Conflicts—0
ComFairGNN: Community Fair Graph Neural Network—0
Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship—0
Common Ground, Diverse Roots: The Difficulty of Classifying Common Examples in Spanish Varieties—0
Compact Argumentation Frameworks—0
Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support—0
Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images—0
Comparative Evaluation of Multiagent Learning Algorithms in a Diverse Set of Ad Hoc Team Problems—0
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions—0
Comparing Biases and the Impact of Multilingual Training across Multiple Languages—0
Comparing Fairness Criteria Based on Social Outcome—0
Comparing Fairness of Generative Mobility Models—0
Comparing Fair Ranking Metrics—0
Comparing Methods for Bias Mitigation in Graph Neural Networks—0
Comparing Software Developers with ChatGPT: An Empirical Investigation—0
Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study—0
Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity—0
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models—0
Towards Secure and Private AI: A Framework for Decentralized Inference—0
Complex QA and language models hybrid architectures, Survey—0
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm—0
Compositional Attribute Imbalance in Vision Datasets—0
Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in Biometrics—0
Comprehensive Framework for Evaluating Conversational AI Chatbots—0
Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360—0
Computational Design of Cold Bent Glass Façades—0
Computational Studies in Influencer Marketing: A Systematic Literature Review—0
Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint—0
Computing the Collection of Good Models for Rule Lists—0
Concept-Based Explanations for Tabular Data—0
Concept Embedding Analysis: A Review—0
Conceptualization and Framework of Hybrid Intelligence Systems—0
Conceptualization and Framework of Hybrid Intelligence Systems—0
Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning—0
Conditional Learning of Fair Representations—0
CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence—0
Conformalized Selective Regression—0
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics—0
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective—0
Beyond "Fairness:" Structural (In)justice Lenses on AI for Education—0
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production—0
Connecting Fairness in Machine Learning with Public Health Equity—0
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation—0
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness—0
Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning—0
"Conservatives Overfit, Liberals Underfit": The Social-Psychological Control of Affect and Uncertainty—0
Considerations for Task Allocation in Human-Robot Teams—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