18 citations · 20 across the 2 of their papers we have counts for
2 papers
cs.CL2017★ 18 cited
Slim Embedding Layers for Recurrent Neural Language Models
Zhongliang Li, Raymond Kulhanek, Shaojun Wang +2
Recurrent neural language models are the state-of-the-art models for language modeling. When the vocabulary size is large, the space taken to store the model parameters becomes the…
cs.LG2012★ 2 cited
Boltzmann Machine Learning with the Latent Maximum Entropy Principle
Shaojun Wang, Dale Schuurmans, Fuchun Peng +1
We present a new statistical learning paradigm for Boltzmann machines based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is differ…