102 citations · 170 across the 4 of their papers we have counts for
4 papers
Stochastic Variational Deep Kernel Learning
Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov +1
Deep kernel learning combines the non-parametric flexibility of kernel methods with the inductive biases of deep learning architectures. We propose a novel deep kernel learning mod…
Dropout with Expectation-linear Regularization
Xuezhe Ma, Yingkai Gao, Zhiting Hu +3
Dropout, a simple and effective way to train deep neural networks, has led to a number of impressive empirical successes and spawned many recent theoretical investigations. However…
Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification
Yuezhang Li, Ronghuo Zheng, Tian Tian +3
Due to the lack of structured knowledge applied in learning distributed representation of cate- gories, existing work cannot incorporate category hierarchies into entity informatio…
Neural Machine Translation with Recurrent Attention Modeling
Zichao Yang, Zhiting Hu, Yuntian Deng +2
Knowing which words have been attended to in previous time steps while generating a translation is a rich source of information for predicting what words will be attended to in the…