Deep Learning

The Aesthetic Value of Representational Limitations in (Human) Cognition

This work puts forward a novel continual learning algorithm based on brain-inspired principles of neural computation. Contrary to many existing approaches, our method does not make use of task boundaries or data replay.

How a convolutional network with some simple adaptations can become a powerful tool for sequence modeling and forecasting.