Multivariate Time Series,Self-supervised Learning,Time Series,Time Series Data,Variate,Anomaly Detection,Anomaly Score,Artificial Intelligence Training,Autoencoder ...

Self-supervised learning approaches, such as masked autoencoder (MAE) reconstruction and contrastive learning, offer a promising solution by reducing reliance on labeled data. Nonetheless, Transformer ...

An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data issues. The paper, titled “Research on the Application ...

Bad luck has struck the bullpen of the Diamondbacks, who on May 1 placed Justin Martinez on the IL and transferred A.J. Puk to the 60-day IL, sidelining the latter until at least June 17. Expect a ...

For the automated version of GraphCL, please refer to https://github.com/Shen-Lab/GraphCL_Automated. For the extention of GraphCL to hypergraphs, please refer to ...

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Self-supervised learning has recently achieved great success in representation learning without human annotations. The dominant method — that is contrastive learning is generally based on instance ...