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09/30/2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
The quantization of deep neural networks (QDNNs) has been actively studi...
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05/31/2020
Quantized Neural Networks: Characterization and Holistic Optimization
Quantized deep neural networks (QDNNs) are necessary for low-power, high...
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02/02/2020
SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks
Designing a deep neural network (DNN) with good generalization capabilit...
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09/04/2019
Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks
Knowledge distillation (KD) is a very popular method for model size redu...
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07/01/2017