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Wenbin Pei

2 accepted papers

2024

Diffusion Language-Shapelets for Semi-supervised Time-Series Classification

AAAI 2024technical

Semi-supervised time-series classification could effectively alleviate the issue of lacking labeled data. However, existing approaches usually ignore model interpretability, making it difficult for humans to understand the principles behind the predictions of a model. Shapelets are a set of discrimi…

2023

Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels

NeurIPS 2023poster

Deep Neural Networks (DNNs) have been criticized because they easily overfit noisy (incorrect) labels. To improve the robustness of DNNs, existing methods for image data regard samples with small training losses as correctly labeled data (small-loss criterion). Nevertheless, time series' discriminat…