Interpretable Time-series Classification on Few-shot Samples

3 Jun 2020 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 classification algorithms fail to tackle the few-shot scenario... (read more)

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