no code implementations • 3 Jun 2019 • Sanghyun Hong, Pietro Frigo, Yiğitcan Kaya, Cristiano Giuffrida, Tudor Dumitraş
Deep neural networks (DNNs) have been shown to tolerate "brain damage": cumulative changes to the network's parameters (e. g., pruning, numerical perturbations) typically result in a graceful degradation of classification accuracy.