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Found 4 papers, 3 papers with code
HouYi: An open-source large language model specially designed for renewable energy and carbon neutrality field
Therefore, this paper published the first open-source Renewable Energy Academic Paper (REAP) dataset for non-commercial LLM research of renewable energy.
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks
In this paper, we propose an end-to-end model of Deep Dual Support Vector Data description based Autoencoder (Dual-SVDAE) for anomaly detection on attributed networks, which considers both the structure and attribute for attributed networks.
Semi-supervised Time Series Classification by Temporal Relation Prediction
Then, the temporal relation between those segments is predicted by SemiTime in a self-supervised manner.
Correlation-aware Deep Generative Model for Unsupervised Anomaly Detection
Unsupervised anomaly detection aims to identify anomalous samples from highly complex and unstructured data, which is pervasive in both fundamental research and industrial applications.
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