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Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised
Following this, the representations learned through interaction with the world can be used to associate semantic concepts such as different types of doors.
Learning Semantically Meaningful Representations Through Embodiment
How do humans acquire a meaningful understanding of the world with little to no supervision or semantic labels provided by the environment?
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