Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Aligning Recommendation and Conversation via Dual Imitation


Nov 05, 2022
Jinfeng Zhou, Bo Wang, Minlie Huang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou

* EMNLP 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Redundancy of Hidden Layers in Deep Learning: An Information Perspective


Sep 19, 2020
Chenguang Zhang, Yuexian Hou, Dawei Song, Liangzhu Ge, Yaoshuai Yao


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Tensorized Transformer for Language Modeling


Aug 09, 2019
Xindian Ma, Peng Zhang, Shuai Zhang, Nan Duan, Yuexian Hou, Dawei Song, Ming Zhou

* Submitted to NeurIPS 2019 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines


Feb 05, 2015
Xiaozhao Zhao, Yuexian Hou, Dawei Song, Wenjie Li

* 16pages. arXiv admin note: substantial text overlap with arXiv:1302.3931 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Understanding Boltzmann Machine and Deep Learning via A Confident Information First Principle


Oct 09, 2013
Xiaozhao Zhao, Yuexian Hou, Qian Yu, Dawei Song, Wenjie Li


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

On Tsallis Entropy Bias and Generalized Maximum Entropy Models


Apr 07, 2010
Yuexian Hou, Tingxu Yan, Peng Zhang, Dawei Song, Wenjie Li

* 29 pages 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email