Nicholas A. Ketz

Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations

Deep neural networks suffer from the inability to preserve the learned data representation (i.e., catastrophic forgetting) in domains where the input data distribution is non-stationary, and it changes during training. Various selective synaptic plasticity approaches have been recently proposed to…