RITA: Group Attention is All You Need for Timeseries Analytics

RITA: Group Attention is All You Need for Timeseries Analytics

Timeseries analytics is important in many real-world applications. Recently, the Transformer model, popular in natural language processing, has been leveraged to learn high quality feature embeddings from timeseries: embeddings are key to the performance of various timeseries analytics tasks such as...

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Bibliographic Details
Main Authors: Liang, Jiaming, Cao, Lei, Madden, Samuel, Ives, Zack, Li, Guoliang
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Association for Computing Machinery (ACM) 2024
Online Access:https://hdl.handle.net/1721.1/154072

Internet

https://hdl.handle.net/1721.1/154072

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