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Language modeling with Neural trans-dimensional random fields
v1v2v3 (latest)

Language modeling with Neural trans-dimensional random fields

23 July 2017
Bin Wang
Zhijian Ou
ArXiv (abs)PDFHTML

Papers citing "Language modeling with Neural trans-dimensional random fields"

13 / 13 papers shown
Title
Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems
Entriever: Energy-based Retriever for Knowledge-Grounded Dialog SystemsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Yucheng Cai
Ke Li
Y. Huang
Junlan Feng
Zhijian Ou
155
0
0
31 May 2025
Joint-stochastic-approximation Random Fields with Application to Semi-supervised Learning
Joint-stochastic-approximation Random Fields with Application to Semi-supervised Learning
Yunfu Song
Zhijian Ou
188
0
0
24 May 2025
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 RecognitionInterspeech (Interspeech), 2023
Hong Liu
Z. Lv
Zhijian Ou
Wenbo Zhao
Qing Xiao
167
1
0
22 May 2023
Exposing the Implicit Energy Networks behind Masked Language Models via
  Metropolis--Hastings
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--HastingsInternational Conference on Learning Representations (ICLR), 2021
Kartik Goyal
Chris Dyer
Taylor Berg-Kirkpatrick
280
52
0
04 Jun 2021
An empirical study of domain-agnostic semi-supervised learning via
  energy-based models: joint-training and pre-training
An empirical study of domain-agnostic semi-supervised learning via energy-based models: joint-training and pre-training
Yunfu Song
Huahuan Zheng
Zhijian Ou
100
0
0
25 Oct 2020
MCMC Should Mix: Learning Energy-Based Model with Neural Transport
  Latent Space MCMC
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMCInternational Conference on Learning Representations (ICLR), 2020
Erik Nijkamp
Ruiqi Gao
Pavel Sountsov
Srinivas Vasudevan
Bo Pang
Song-Chun Zhu
Ying Nian Wu
BDL
178
24
0
12 Jun 2020
Residual Energy-Based Models for Text Generation
Residual Energy-Based Models for Text Generation
Yuntian Deng
A. Bakhtin
Myle Ott
Arthur Szlam
MarcÁurelio Ranzato
221
144
0
22 Apr 2020
Residual Energy-Based Models for Text
Residual Energy-Based Models for Text
A. Bakhtin
Yuntian Deng
Sam Gross
Myle Ott
MarcÁurelio Ranzato
Arthur Szlam
195
13
0
06 Apr 2020
Integrating Discrete and Neural Features via Mixed-feature
  Trans-dimensional Random Field Language Models
Integrating Discrete and Neural Features via Mixed-feature Trans-dimensional Random Field Language ModelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Silin Gao
Zhijian Ou
Wei Yang
Huifang Xu
119
2
0
14 Feb 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
229
15
0
05 Aug 2018
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 estimationSpoken Language Technology Workshop (SLT), 2018
Bin Wang
Zhijian Ou
163
15
0
03 Jul 2018
Generative Modeling by Inclusive Neural Random Fields with Applications
  in Image Generation and Anomaly Detection
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection
Yunfu Song
Zhijian Ou
DiffM
366
31
0
01 Jun 2018
Learning neural trans-dimensional random field language models with
  noise-contrastive estimation
Learning neural trans-dimensional random field language models with noise-contrastive estimationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017
Bin Wang
Zhijian Ou
150
19
0
30 Oct 2017
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