In recent years, transformer has become an effective tool for fault diagnosis, but it has been shown that a sufficient amount of labeled data is usually required to train a transformer model. However, ...

Incomplete labels are common in multi-task learning for biomedical applications due to several practical difficulties, e.g., expensive annotation efforts by experts, limit of data collection, ...

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