326 citations · 665 across the 14 of their papers we have counts for
Showing 2015Show all
3 papers · 1 filter
cs.LG2015★ 20 cited
Max-Pooling Dropout for Regularization of Convolutional Neural Networks
Haibing Wu, Xiaodong Gu
Recently, dropout has seen increasing use in deep learning. For deep convolutional neural networks, dropout is known to work well in fully-connected layers. However, its effect in…
cs.LG2015★ 326 cited
Towards Dropout Training for Convolutional Neural Networks
Haibing Wu, Xiaodong Gu
Recently, dropout has seen increasing use in deep learning. For deep convolutional neural networks, dropout is known to work well in fully-connected layers. However, its effect in…
cs.CL2015★ 7 cited
Aspect-based Opinion Summarization with Convolutional Neural Networks
Haibing Wu, Yiwei Gu, Shangdi Sun +1
This paper considers Aspect-based Opinion Summarization (AOS) of reviews on particular products. To enable real applications, an AOS system needs to address two core subtasks, aspe…