Few-shot learning is a “Big brother” in Machine Learning nowadays! We proposed “Once Learning” in 1998. This talk presents the evolution of Few-shot learning. Using this mechanism, we applied SOM, CNN, YOLO and ViT to analyze the learning behavior to simulate Human-like learning. This talk is with the events of UnB 60 years.

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