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Found 4 papers, 4 papers with code
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning
This paper presents FusionShot, a focal diversity optimized few-shot ensemble learning approach for boosting the robustness and generalization performance of pre-trained few-shot models.
Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives
The goal of auditor is to yield a broad spectrum of vulnerabilities with the hope of encompassing the correct answer, whereas the goal of critic that evaluates the validity of identified vulnerabilities is to minimize the number of false positives.
Crime Prediction with Graph Neural Networks and Multivariate Normal Distributions
Existing approaches to the crime prediction problem are unsuccessful in expressing the details since they assign the probability values to large regions.
Numerical Weather Forecasting using Convolutional-LSTM with Attention and Context Matcher Mechanisms
To this end, we introduce a novel deep learning architecture for forecasting high-resolution spatio-temporal weather data.
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