Paper-Conference

To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference
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Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach
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Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding
PDF Dataset
Adaptive Deep Learning Model Selection on Embedded Systems
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Auto-tuning Streamed Applications on Intel Xeon Phi
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