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SQWA: Stochastic Quantized Weight Averaging for Improving the
  Generalization Capability of Low-Precision Deep Neural Networks

SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks

2 February 2020
Sungho Shin
Yoonho Boo
Wonyong Sung
    MQ
ArXivPDFHTML

Papers citing "SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks"

3 / 3 papers shown
Title
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized
  Deep Neural Networks
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
Yoonho Boo
Sungho Shin
Jungwook Choi
Wonyong Sung
MQ
27
29
0
30 Sep 2020
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
337
1,049
0
10 Feb 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
1