SOTAVerified

Fairness

Papers

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Showing 601–650 of 5676 papers

TitleStatusHype
Adversarial Fairness Network—0
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse—0
A new look at fairness in stochastic multi-armed bandit problems—0
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics—0
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing—0
Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks—0
Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection—0
A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning—0
A New Approach to Fair Distribution of Welfare—0
Advantageous and disadvantageous inequality aversion can be taught through vicarious learning of others' preferences—0
FNNC: Achieving Fairness through Neural Networks—0
A neural anisotropic view of underspecification in deep learning—0
Advancing subgroup fairness via sleeping experts—0
Fairness-aware Anomaly Detection via Fair Projection—0
An Epistemic Approach to the Formal Specification of Statistical Machine Learning—0
An Empirical Study on the Fairness of Pre-trained Word Embeddings—0
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond—0
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation—0
Advancing Legal Reasoning: The Integration of AI to Navigate Complexities and Biases in Global Jurisprudence with Semi-Automated Arbitration Processes (SAAPs)—0
Achieving User-Side Fairness in Contextual Bandits—0
AI for All: Identifying AI incidents Related to Diversity and Inclusion—0
Best-Case Lower Bounds in Online Learning—0
Advancing Fairness in Natural Language Processing: From Traditional Methods to Explainability—0
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification—0
Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features—0
Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations—0
An Empirical Study of Modular Bias Mitigators and Ensembles—0
Achieving Transparency Report Privacy in Linear Time—0
Achieving Proportionality up to the Maximin Item with Indivisible Goods—0
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)—0
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness—0
An Empirical Investigation of Learning from Biased Toxicity Labels—0
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models—0
Best Arm Identification with Fairness Constraints on Subpopulations—0
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs—0
Beyond Detection: Designing AI-Resilient Assessments with Automated Feedback Tool to Foster Critical Thinking—0
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning—0
BenchmarkCards: Large Language Model and Risk Reporting—0
An Empirical Analysis of Fairness Notions under Differential Privacy—0
An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low Regret—0
A Distributionally Robust Optimisation Approach to Fair Credit Scoring—0
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee—0
An Effective, Robust and Fairness-aware Hate Speech Detection Framework—0
A Distributionally Robust Approach to Fair Classification—0
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation—0
Achieving Long-term Fairness in Submodular Maximization through Randomization—0
Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals—0
Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set—0
Benchmarking Bias in Large Language Models during Role-Playing—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