ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Shuchang Zhou, Yuxin Wu, Zekun Ni et al. · arXiv (Cornell University) · 2016 · 1.8K citations · Full text

Computing, Computer Engineering, Computer Science +13

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Itay Hubara, Matthieu Courbariaux, Daniel Soudry et al. · arXiv (Cornell University) · 2016 · 1.4K citations · Full text

Computing, Computer Engineering, Computer Science +14

Quantized Convolutional Neural Networks for Mobile Devices

Jiaxiang Wu, Cong Leng, Yuhang Wang et al. · 2016 · 1.3K citations

Computing, Computer Science, Computer Vision +16

Compressing Deep Convolutional Networks using Vector Quantization

Yunchao Gong, Liu Liu, Ming–Hsuan Yang et al. · arXiv (Cornell University) · 2014 · 1K citations · Full text

Computing, Computer Science, Computer Vision +15

1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs

Frank Seide, Hao Fu, Jasha Droppo et al. · 2014 · 889 citations

Computing, Computer Engineering, Computer Science +17