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An Alignment-Agnostic Model for Chinese Text Error Correction
Most existing models based on detect-correct framework can correct mistaken characters errors, but they cannot deal with missing or redundant characters.
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection
In recent studies, Lots of work has been done to solve time series anomaly detection by applying Variational Auto-Encoders (VAEs).
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