A Transformer-based Framework for Multivariate Time Series Representation Learning-Reference-Cited by-同舟云学术

A Transformer-based Framework for Multivariate Time Series Representation Learning

Published:2021-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
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Author:

Zerveas George¹,Jayaraman Srideepika²,Patel Dhaval²,Bhamidipaty Anuradha²,Eickhoff Carsten¹

Affiliation:

1. Brown University, Providence, RI, USA

2. IBM Research, Yorktown Heights, NY, USA

Funder

NSF (National Science Foundation)

Onassis Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467401

Reference34 articles.

1. The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances

2. T. Brown B. Mann etal 2020. Language Models are Few-Shot Learners. arxiv: 2005.14165 [cs.CL] T. Brown B. Mann et al. 2020. Language Models are Few-Shot Learners. arxiv: 2005.14165 [cs.CL]

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