Deep learning (DL) is being successfully applied across multiple domains, yet these models
learn in a most artificial way: they require large quantities of labeled data to grasp even …

Scholars from across the social sciences, biological sciences, and humanities have long
emphasized the role of human morality in supporting cooperation. How does morality arise …

Humans are able to recognize structured relations in observation, allowing us to decompose
complex scenes into simpler parts and abstract the visual world in multiple levels. However …

The visual world can be parsimoniously characterized in terms of distinct entities with sparse
interactions. Discovering this compositional structure in dynamic visual scenes has proven …

Abstract 'Intuitive physics' enables our pragmatic engagement with the physical world and
forms a key component of 'common sense'aspects of thought. Current artificial intelligence …

A compositional understanding of the world in terms of objects and their geometry in 3D
space is considered a cornerstone of human cognition. Facilitating the learning of such a …

Planning an optimal route in a complex environment requires efficient reasoning about the
surrounding scene. While human drivers prioritize important objects and ignore details not …

Video understanding has achieved great success in representation learning, such as video
caption, video object grounding, and video descriptive question-answer. However, current …

How do humans develop the capacity to reason? In five studies, we examined infants'
emerging ability to make exclusion inferences using negation, as in the disjunctive syllogism …

How could machines learn as efficiently as humans and animals? How could machines
learn to reason and plan? How could machines learn representations of percepts and action …