Next-generation deep learning based on simulators and synthetic data
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 …
learn in a most artificial way: they require large quantities of labeled data to grasp even …
Human morality is based on an early-emerging moral core
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 …
emphasized the role of human morality in supporting cooperation. How does morality arise …
Deep hierarchical semantic segmentation
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 …
complex scenes into simpler parts and abstract the visual world in multiple levels. However …
Savi++: Towards end-to-end object-centric learning from real-world videos
G Elsayed, A Mahendran… - Advances in …, 2022 - proceedings.neurips.cc
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 …
interactions. Discovering this compositional structure in dynamic visual scenes has proven …
[HTML][HTML] Intuitive physics learning in a deep-learning model inspired by developmental psychology
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 …
forms a key component of 'common sense'aspects of thought. Current artificial intelligence …
Object scene representation transformer
MSM Sajjadi, D Duckworth… - Advances in neural …, 2022 - proceedings.neurips.cc
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 …
space is considered a cornerstone of human cognition. Facilitating the learning of such a …
Plant: Explainable planning transformers via object-level representations
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 …
surrounding scene. While human drivers prioritize important objects and ignore details not …
From representation to reasoning: Towards both evidence and commonsense reasoning for video question-answering
Video understanding has achieved great success in representation learning, such as video
caption, video object grounding, and video descriptive question-answer. However, current …
caption, video object grounding, and video descriptive question-answer. However, current …
The development of reasoning by exclusion in infancy
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 …
emerging ability to make exclusion inferences using negation, as in the disjunctive syllogism …
[PDF][PDF] A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27
Y LeCun - Open Review, 2022 - openreview.net
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 …
learn to reason and plan? How could machines learn representations of percepts and action …