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Double-Win Quant: Aggressively Winning Robustness of Quantized Deep
Neural Networks via Random Precision Training and Inference
Yonggan Fu 1 Qixuan Yu 1 Meng Li 2 Vikas Chandra 2 Yingyan Lin 1
Abstract Wu et al., 2018). However, DNNs’ deployments into IoT
Quantization is promising in enabling powerful devices still remain challenging. First, powerful DNNs often
yet complex deep neural networks (DNNs) to come at a prohibitive cost, ...
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