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Fairness

Papers

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Showing 2301–2350 of 5676 papers

TitleStatusHype
Efficient Major Transition Exchange under Distributional and Dual Priority-respecting Constraints—0
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning—0
Beyond Personalization: Research Directions in Multistakeholder Recommendation—0
An Automata-Theoretic Approach to Synthesizing Binarized Neural Networks—0
A Disability Lens towards Biases in GPT-3 Generated Open-Ended Languages—0
Efficient k-means with Individual Fairness via Exponential Tilting—0
Efficient Gender Debiasing of Pre-trained Indic Language Models—0
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection—0
Beyond opening up the black box: Investigating the role of algorithmic systems in Wikipedian organizational culture—0
Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance—0
Efficient Fair Principal Component Analysis—0
Efficient Fairness Testing in Large Language Models: Prioritizing Metamorphic Relations for Bias Detection—0
Efficient Fairness-Performance Pareto Front Computation—0
Beyond Individual and Group Fairness—0
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation—0
A Directional Rockafellar-Uryasev Regression—0
Efficient DNN-Powered Software with Fair Sparse Models—0
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy—0
Efficient Device Scheduling with Multi-Job Federated Learning—0
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms—0
Beyond human subjectivity and error: a novel AI grading system—0
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises—0
Efficient candidate screening under multiple tests and implications for fairness—0
Beyond Global Metrics: A Fairness Analysis for Interpretable Voice Disorder Detection Systems—0
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models—0
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice—0
Analyzing the Ethical Logic of Six Large Language Models—0
A Differentiable Rank-Based Objective For Better Feature Learning—0
Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects—0
Algorithmic decision making methods for fair credit scoring—0
Efficiency, Sequenceability and Deal-Optimality in Fair Division of Indivisible Goods—0
Unambiguous Efficiency of Random Allocations—0
Beyond Fairness: Age-Harmless Parkinson's Detection via Voice—0
Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing—0
Efficiency and Sequenceability in Fair Division of Indivisible Goods with Additive Preferences—0
Beyond Explainability: The Case for AI Validation—0
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models—0
Vertical Allocation-based Fair Exposure Amortizing in Ranking—0
Beyond Detection: Designing AI-Resilient Assessments with Automated Feedback Tool to Foster Critical Thinking—0
Analyzing Fairness of Computer Vision and Natural Language Processing Models—0
Editable Fairness: Fine-Grained Bias Mitigation in Language Models—0
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation—0
Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection—0
EchoQA: A Large Collection of Instruction Tuning Data for Echocardiogram Reports—0
Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation—0
Analyzing Fairness of Classification Machine Learning Model with Structured Dataset—0
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads—0
Fair Incentives for Repeated Engagement—0
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders—0
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools—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