One-time learning in a biologically-inspired Salience-affected Artificial Neural Network (SANN)
Leendert A Remmelzwaal, George Ellis, Jonathan C. Tapson
This paper introduces a Salience Affected Artificial Neural Network (SANN) that enables one-time learning through salience tagging, improving classification accuracy on MNIST and Fashion MNIST datasets.
bioRxiv · Feb 7, 2020 · PreprintNeuroscience