45 citations · 114 across the 13 of their papers we have counts for
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cs.LG2019★ 2 cited
RTN: Reparameterized Ternary Network
Yuhang Li, Xin Dong, Sai Qian Zhang +3
To deploy deep neural networks on resource-limited devices, quantization has been widely explored. In this work, we study the extremely low-bit networks which have tremendous speed…
cs.LG2019★ 17 cited
Few Shot Network Compression via Cross Distillation
Haoli Bai, Jiaxiang Wu, Irwin King +1
Model compression has been widely adopted to obtain light-weighted deep neural networks. Most prevalent methods, however, require fine-tuning with sufficient training data to ensur…
cs.LG2019
Structured Pruning of Recurrent Neural Networks through Neuron Selection
Liangjian Wen, Xuanyang Zhang, Haoli Bai +1
Recurrent neural networks (RNNs) have recently achieved remarkable successes in a number of applications. However, the huge sizes and computational burden of these models make it d…