Search Results for author:
Found 4 papers, 1 papers with code
Exact Spectral Norm Regularization for Neural Networks
We pursue a line of research that seeks to regularize the spectral norm of the Jacobian of the input-output mapping for deep neural networks.
The Ecosystem Path to General AI
Animal cognition is modeled by integrating three separate networks: (i) a reflex network for hard-wired reflexes; (ii) a happiness network that maps sensory data such as oxygen, water, energy, and smells, to a scalar happiness value; and (iii) a policy network for selecting actions.
Slope and generalization properties of neural networks
From a statistical point of view, fitting a neural network may be seen as a kind of regression, where we seek a function from the input space to a space of classification probabilities that follows the "general" shape of the data, but avoids overfitting by avoiding memorization of individual data points.
Lifelong Learning Starting From Zero
We present a deep neural-network model for lifelong learning inspired by several forms of neuroplasticity.
