research
∙
05/17/2022
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey
State-of-the-art deep learning models have a parameter count that reache...
share
research
∙
03/15/2022
Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs
Unstructured pruning is well suited to reduce the memory footprint of co...
research
∙
07/27/2021
COPS: Controlled Pruning Before Training Starts
State-of-the-art deep neural network (DNN) pruning techniques, applied o...
research
∙
11/28/2020
