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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...
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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...
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07/27/2021
COPS: Controlled Pruning Before Training Starts
State-of-the-art deep neural network (DNN) pruning techniques, applied o...
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11/28/2020