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Compact Neural Representation Using Attentive Network Pruning
Wednesday Jul 8 2020 16:00 GMT
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Compact Neural Representation Using Attentive Network Pruning
Why This Is Interesting

Pruning becomes increasingly popular as we seek to migrate deep learning to smaller mobile platforms. The paper demonstrates a pruning technique that not only outperforms baseline models, but also proves a high compression ratio is achievable with negligible loss of accuracy. It is able to achieve such results by introducing a novel hierarchical selection mechanism as the basis of pruning.

Discussion Points
  • Neural Network Compression
  • Topdown selection
  • Pruning mechanisms
Time of Recording: Wednesday Jul 8 2020 16:00 GMT