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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

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
2 February 2020
Sungho Shin
Yoonho Boo
Wonyong Sung
    MQ
ArXiv (abs)PDFHTML

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

2 / 2 papers shown
Tri-Accel: Curvature-Aware Precision-Adaptive and Memory-Elastic Optimization for Efficient GPU Usage
Tri-Accel: Curvature-Aware Precision-Adaptive and Memory-Elastic Optimization for Efficient GPU Usage
Mohsen Sheibanian
Pouya Shaeri
Alimohammad Beigi
Ryan T. Woo
Aryan Keluskar
263
0
0
23 Aug 2025
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
262
37
0
30 Sep 2020
1
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