4 citations · 7 across the 5 of their papers we have counts for
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cs.LG2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
Yoonho Boo, Sungho Shin, Jungwook Choi +1
The quantization of deep neural networks (QDNNs) has been actively studied for deployment in edge devices. Recent studies employ the knowledge distillation (KD) method to improve t…
cs.LG2020
Quantized Neural Networks: Characterization and Holistic Optimization
Yoonho Boo, Sungho Shin, Wonyong Sung
Quantized deep neural networks (QDNNs) are necessary for low-power, high throughput, and embedded applications. Previous studies mostly focused on developing optimization methods f…
cs.LG2020★ 1 cited
SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks
Sungho Shin, Yoonho Boo, Wonyong Sung
Designing a deep neural network (DNN) with good generalization capability is a complex process especially when the weights are severely quantized. Model averaging is a promising ap…