36 citations · 86 across the 6 of their papers we have counts for
6 papers
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Nicholas Roy, Ingmar Posner, Tim Barfoot +17
Machine learning has long since become a keystone technology, accelerating science and applications in a broad range of domains. Consequently, the notion of applying learning metho…
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Anirudh Goyal, Aniket Didolkar, Nan Rosemary Ke +5
Visual environments are structured, consisting of distinct objects or entities. These entities have properties -- both visible and latent -- that determine the manner in which they…
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
Alex Lamb, Anirudh Goyal, Agnieszka Słowik +3
Feed-forward neural networks consist of a sequence of layers, in which each layer performs some processing on the information from the previous layer. A downside to this approach i…
Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems
Anirudh Goyal, Alex Lamb, Phanideep Gampa +5
Modeling a structured, dynamic environment like a video game requires keeping track of the objects and their states declarative knowledge) as well as predicting how objects behave…
CLOSURE: Assessing Systematic Generalization of CLEVR Models
Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell +4
The CLEVR dataset of natural-looking questions about 3D-rendered scenes has recently received much attention from the research community. A number of models have been proposed for…
Neocortical plasticity: an unsupervised cake but no free lunch
Eilif B. Muller, Philippe Beaudoin
The fields of artificial intelligence and neuroscience have a long history of fertile bi-directional interactions. On the one hand, important inspiration for the development of art…