most citedAutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning

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cs.LG2023

Simple Contrastive Representation Learning for Time Series Forecasting

Xiaochen Zheng, Xingyu Chen, Manuel Schürch +3

Contrastive learning methods have shown an impressive ability to learn meaningful representations for image or time series classification. However, these methods are less effective…

cs.LG2022★ 1 cited

AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning

Chunnan Wang, Xingyu Chen, Chengyue Wu +1

Automatic Time Series Forecasting (TSF) model design which aims to help users to efficiently design suitable forecasting model for the given time series data scenarios, is a novel…