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This makes Semi-supervised Learning (SSL) become a research hotspot. The reason is that it can make full use of a small number of labeled samples and a large number of unlabeled samples to improve the ...

We use a setup in which an artificial agent first learns in a simulated world through self-supervised, curiosity-driven exploration. Following this initial learning phase, the learned representations ...