The lottery ticket hypothesis: Finding sparse, trainable neural networks
Neural network pruning techniques can reduce the parameter counts of trained networks by over 90%, decreasing storage requirements and improving computational performance of inference without compromising accuracy. However, contemporary experience is that the sparse architectures produced by pruning...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2021-02-22T18:52:45Z.
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| Subjects: | |
| Online Access: | Get fulltext |