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Fairness

Papers

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Showing 1001–1050 of 5676 papers

TitleStatusHype
Causally Fair Node Classification on Non-IID Graph Data—0
A Reinforcement Learning Approach for RIS-aided Fair Communications—0
Causal Machine Learning: A Survey and Open Problems—0
Causal Mediation Analysis with Hidden Confounders—0
Reinforcement Learning for Joint Optimization of Multiple Rewards—0
Causal Multi-Level Fairness—0
Causal Perception—0
Causal Reasoning for Algorithmic Fairness—0
Matching Learned Causal Effects of Neural Networks with Domain Priors—0
A Balance for Fairness: Fair Distribution Utilising Physics in Games of Characteristic Function Form—0
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models—0
Cell-Free Satellite-UAV Networks for 6G Wide-Area Internet of Things—0
Are Models Trained on Indian Legal Data Fair?—0
Implications of Distance over Redistricting Maps: Central and Outlier Maps—0
Constrained Learning with Non-Convex Losses—0
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training—0
CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models—0
CertiFair: A Framework for Certified Global Fairness of Neural Networks—0
Certification of Distributional Individual Fairness—0
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models—0
A Catalog of Fairness-Aware Practices in Machine Learning Engineering—0
Certifying Robustness to Programmable Data Bias in Decision Trees—0
Algorithms, Incentives, and Democracy—0
Constant Approximation for Individual Preference Stable Clustering—0
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing—0
Algorithms for Fair Team Formation in Online Labour Marketplaces—0
Constrained Classification and Policy Learning—0
Constrained Online Decision-Making: A Unified Framework—0
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation—0
Contrastive Fairness in Machine Learning—0
Convex Fairness Constrained Model Using Causal Effect Estimators—0
AutoTestForge: A Multidimensional Automated Testing Framework for Natural Language Processing Models—0
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis—0
Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management—0
Automating Food Drop: The Power of Two Choices for Dynamic and Fair Food Allocation—0
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree—0
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps—0
Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning—0
Automatic scoring of short answers using justification cues estimated by BERT—0
Automatic Link Selection in Multi-Channel Multiple Access with Link Failures—0
Algorithmic Tradeoffs in Fair Lending: Profitability, Compliance, and Long-Term Impact—0
Algorithmic Stability in Fair Allocation of Indivisible Goods Among Two Agents—0
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling—0
Addressing Bias in Face Detectors using Decentralised Data collection with incentives—0
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness—0
"Conservatives Overfit, Liberals Underfit": The Social-Psychological Control of Affect and Uncertainty—0
Automatic Essay Scoring in a Brazilian Scenario—0
Algorithmic Robustness—0
Addressing Biases in the Texts using an End-to-End Pipeline Approach—0
Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search—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