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Robust Prototypical Networks for Few-Shot Sensor Fault Diagnosis

Belay, Mohammed Ayalew et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Industrial fault diagnosis often operates with only a handful of labeled fault examples, making few-shot learning attractive for sensor monitoring. Standard prototypical networks are simple and effective; however, their class prototypes may become unstable in the very-low-shot regime because each de
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