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All at Once Network Quantization via Collaborative Knowledge Transfer

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Abstract

Network quantization has rapidly become one of the most widely used methods to compress and accelerate deep neural networks on edge devices. While existing approaches offer impressive results on common benchmark datasets, they generally repeat the quantization process and retrain the low-precision network from scratch, leading to differ...More

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Author
Ximeng Sun
Ximeng Sun
Chun-Fu Chen
Chun-Fu Chen
Naigang Wang
Naigang Wang
Bowen Pan Kailash Gopalakrishnan
Bowen Pan Kailash Gopalakrishnan
Aude Oliva
Aude Oliva
Rogerio Feris
Rogerio Feris
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