54 citations · 56 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 2 cited
Interpretable Time-series Classification on Few-shot Samples
Wensi Tang, Lu Liu, Guodong Long
Recent few-shot learning works focus on training a model with prior meta-knowledge to fast adapt to new tasks with unseen classes and samples. However, conventional time-series cla…
cs.LG2020★ 54 cited
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
Wensi Tang, Guodong Long, Lu Liu +3
The Receptive Field (RF) size has been one of the most important factors for One Dimensional Convolutional Neural Networks (1D-CNNs) on time series classification tasks. Large effo…