176 citations · 339 across the 9 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CV2018★ 13 cited
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
Yu Pan, Jing Xu, Maolin Wang +4
Recurrent Neural Networks (RNNs) and their variants, such as Long-Short Term Memory (LSTM) networks, and Gated Recurrent Unit (GRU) networks, have achieved promising performance in…
cs.CV2018★ 5 cited
Adversarial Noise Layer: Regularize Neural Network By Adding Noise
Zhonghui You, Jinmian Ye, Kunming Li +2
In this paper, we introduce a novel regularization method called Adversarial Noise Layer (ANL) and its efficient version called Class Adversarial Noise Layer (CANL), which are able…
cs.DC2018★ 176 cited
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
Linnan Wang, Jinmian Ye, Yiyang Zhao +5
Going deeper and wider in neural architectures improves the accuracy, while the limited GPU DRAM places an undesired restriction on the network design domain. Deep Learning (DL) pr…