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Improved training of neural trans-dimensional random field language
  models with dynamic noise-contrastive estimation

Improved training of neural trans-dimensional random field language models with dynamic noise-contrastive estimation

3 July 2018
Bin Wang
Zhijian Ou
ArXivPDFHTML

Papers citing "Improved training of neural trans-dimensional random field language models with dynamic noise-contrastive estimation"

5 / 5 papers shown
Title
Exploring Energy-based Language Models with Different Architectures and
  Training Methods for Speech Recognition
Exploring Energy-based Language Models with Different Architectures and Training Methods for Speech Recognition
Hong Liu
Z. Lv
Zhijian Ou
Wenbo Zhao
Qing Xiao
24
0
0
22 May 2023
Back from the future: bidirectional CTC decoding using future
  information in speech recognition
Back from the future: bidirectional CTC decoding using future information in speech recognition
Namkyu Jung
Geon-min Kim
Han-Gyu Kim
33
3
0
07 Oct 2021
Learning Energy-Based Approximate Inference Networks for Structured
  Applications in NLP
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP
Lifu Tu
BDL
35
0
0
27 Aug 2021
Residual Energy-Based Models for Text Generation
Residual Energy-Based Models for Text Generation
Yuntian Deng
A. Bakhtin
Myle Ott
Arthur Szlam
MarcÁurelio Ranzato
22
126
0
22 Apr 2020
A Review of Learning with Deep Generative Models from Perspective of
  Graphical Modeling
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
Zhijian Ou
31
16
0
05 Aug 2018
1