Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Engineering, pp. 310-345, 2020.

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Abstract:

Recent progress in deep learning is essentially based on a “big data for small tasks” paradigm, under which massive amounts of data are used to train a classifier for a single narrow task. In this paper, we call for a shift that flips this paradigm upside down. Specifically, we propose a “small data for big tasks” paradigm, wherein a sing...More

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