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1908.04680
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Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
10 August 2019
Bohan Zhuang
Jing Liu
Zhuliang Yu
Lingqiao Liu
Ian Reid
Chunhua Shen
MQ
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Papers citing
"Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"
21 / 21 papers shown
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Vertical Layering of Quantized Neural Networks for Heterogeneous Inference
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Efficient Adaptive Activation Rounding for Post-Training Quantization
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Compact Model Training by Low-Rank Projection with Energy Transfer
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SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
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Towards Efficient Post-training Quantization of Pre-trained Language Models
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Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization
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Generative Low-bitwidth Data Free Quantization
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Training Quantized Neural Networks with a Full-precision Auxiliary Module
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