Ruoxin Sang
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View article: Structured Model Pruning of Convolutional Networks on Tensor Processing Units
Structured Model Pruning of Convolutional Networks on Tensor Processing Units Open
The deployment of convolutional neural networks is often hindered by high computational and storage requirements. Structured model pruning is a promising approach to alleviate these requirements. Using the VGG-16 model as an example, we me…
View article: Ranking Neural Checkpoints
Ranking Neural Checkpoints Open
This paper is concerned with ranking many pre-trained deep neural networks (DNNs), called checkpoints, for the transfer learning to a downstream task. Thanks to the broad use of DNNs, we may easily collect hundreds of checkpoints from vari…