NYU

Intuitive experimentation in the physical world

Provides evidence that human experimentation in physical environments is effective at revealing properties of interest, and learning from observations relies on the learning goals.

Self-supervised learning through the eyes of a child

Applies self-supervised learning algorithms to developmentally realistic, longitudinal, egocentric video from young children and demonstrates the emergence of high-level visual representations.