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Search-time Efficient Device Constraints-Aware Neural Architecture Search
To address these concerns, we automate the construction of task-specific deep learning architectures optimized for device constraints through Neural Architecture Search (NAS).
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition
In the last few years, compression of deep neural networks has become an important strand of machine learning and computer vision research.
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