Slow Thinking Enables Task-Uncertain Lifelong and Sequential Few-Shot Learning

ICLR 2020 Anonymous

Lifelong machine learning focuses on adapting to novel tasks without forgetting the old tasks, whereas few-shot learning strives to learn a single task given a small amount of data. These two different research areas are crucial for artificial general intelligence, however, their existing studies have somehow assumed some impractical settings when training the models... (read more)

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