Search Results for author: Taeyoung Park

Found 2 papers, 2 papers with code

Learning to Embed Time Series Patches Independently

2 code implementations27 Dec 2023 Seunghan Lee, Taeyoung Park, Kibok Lee

However, we argue that capturing such patch dependencies might not be an optimal strategy for time series representation learning; rather, learning to embed patches independently results in better time series representations.

Contrastive Learning Representation Learning +2

Soft Contrastive Learning for Time Series

1 code implementation27 Dec 2023 Seunghan Lee, Taeyoung Park, Kibok Lee

SoftCLT is a plug-and-play method for time series contrastive learning that improves the quality of learned representations without bells and whistles.

Anomaly Detection Contrastive Learning +2

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