1 citations · 1 across the 2 of their papers we have counts for
6 papers
Aligning Recommendation and Conversation via Dual Imitation
Jinfeng Zhou, Bo Wang, Minlie Huang +4
Human conversations of recommendation naturally involve the shift of interests which can align the recommendation actions and conversation process to make accurate recommendations…
Label-Based Diversity Measure Among Hidden Units of Deep Neural Networks: A Regularization Method
Chenguang Zhang, Yuexian Hou, Dawei Song +2
Although the deep structure guarantees the powerful expressivity of deep networks (DNNs), it also triggers serious overfitting problem. To improve the generalization capacity of DN…
A Tensorized Transformer for Language Modeling
Xindian Ma, Peng Zhang, Shuai Zhang +4
Latest development of neural models has connected the encoder and decoder through a self-attention mechanism. In particular, Transformer, which is solely based on self-attention, h…
Quantum observation scheme universally identifying causalities from correlations
Chenguang Zhang, Yuexian Hou, Dawei Song
It has long been recognized as a difficult problem to determine whether the observed statistical correlation between two classical variables arise from causality or from common cau…
Discrimination Between Quantum Common Causes and Quantum Causality
Mingdi Hu, Yuexian Hou
In classic cases, Reichenbach's principle implies that discriminating between common causes and causality is unprincipled since the discriminative results essentially depend on the…
A Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines
Xiaozhao Zhao, Yuexian Hou, Dawei Song +1
Typical dimensionality reduction (DR) methods are often data-oriented, focusing on directly reducing the number of random variables (features) while retaining the maximal variation…