25 citations · 42 across the 3 of their papers we have counts for
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cs.LG2022★ 25 cited
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey
Paul Wimmer, Jens Mehnert, Alexandru Paul Condurache
State-of-the-art deep learning models have a parameter count that reaches into the billions. Training, storing and transferring such models is energy and time consuming, thus costl…
cs.LG2020★ 16 cited
FreezeNet: Full Performance by Reduced Storage Costs
Paul Wimmer, Jens Mehnert, Alexandru Condurache
Pruning generates sparse networks by setting parameters to zero. In this work we improve one-shot pruning methods, applied before training, without adding any additional storage co…