Leonardo Pettini

Evaluating alignment between humans and neural network representations in image-based learning tasks

Humans represent scenes and objects in rich feature spaces, carrying information that allows us to generalise about category memberships and abstract functions with few examples. What determines whether a neural network model generalises like a human? We tested how well the representations of $86$ p…