43 citations · 221 across the 18 of their papers we have counts for
6 papers · 1 filter
Attention-Guided Answer Distillation for Machine Reading Comprehension
Minghao Hu, Yuxing Peng, Furu Wei +4
Despite that current reading comprehension systems have achieved significant advancements, their promising performances are often obtained at the cost of making an ensemble of nume…
Read + Verify: Machine Reading Comprehension with Unanswerable Questions
Minghao Hu, Furu Wei, Yuxing Peng +3
Machine reading comprehension with unanswerable questions aims to abstain from answering when no answer can be inferred. In addition to extract answers, previous works usually pred…
Environmental Sound Classification Based on Multi-temporal Resolution Convolutional Neural Network Combining with Multi-level Features
Boqing Zhu, Kele Xu, Dezhi Wang +3
Motivated by the fact that characteristics of different sound classes are highly diverse in different temporal scales and hierarchical levels, a novel deep convolutional neural net…
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
Zheng Qin, Zhaoning Zhang, Dongsheng Li +2
Depthwise convolutions provide significant performance benefits owing to the reduction in both parameters and mult-adds. However, training depthwise convolution layers with GPUs is…
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications
Zheng Qin, Zhaoning Zhang, Shiqing Zhang +2
Compact neural networks are inclined to exploit "sparsely-connected" convolutions such as depthwise convolution and group convolution for employment in mobile applications. Compare…
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
Zheng Qin, Zhaoning Zhang, Xiaotao Chen +1
We present Fast-Downsampling MobileNet (FD-MobileNet), an efficient and accurate network for very limited computational budgets (e.g., 10-140 MFLOPs). Our key idea is applying an a…