output
20162025
most citedMixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series

108 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2022 · stat.MLShow all

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stat.ML2022★ 108 cited

Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series

Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen +1

The lack of labeled data is a key challenge for learning useful representation from time series data. However, an unsupervised representation framework that is capable of producing…