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A Discrete Variational Recurrent Topic Model without the
  Reparametrization Trick

A Discrete Variational Recurrent Topic Model without the Reparametrization Trick

22 October 2020
Mehdi Rezaee
Francis Ferraro
    BDL
    DRL
ArXivPDFHTML

Papers citing "A Discrete Variational Recurrent Topic Model without the Reparametrization Trick"

26 / 26 papers shown
Title
Event Representation with Sequential, Semi-Supervised Discrete Variables
Event Representation with Sequential, Semi-Supervised Discrete Variables
Mehdi Rezaee
Francis Ferraro
BDL
DRL
57
14
0
09 Oct 2020
Representation Degeneration Problem in Training Natural Language
  Generation Models
Representation Degeneration Problem in Training Natural Language Generation Models
Jun Gao
Di He
Xu Tan
Tao Qin
Liwei Wang
Tie-Yan Liu
62
268
0
28 Jul 2019
Variational Pretraining for Semi-supervised Text Classification
Variational Pretraining for Semi-supervised Text Classification
Suchin Gururangan
T. Dang
Dallas Card
Noah A. Smith
VLM
50
112
0
05 Jun 2019
Automatic Evaluation of Local Topic Quality
Automatic Evaluation of Local Topic Quality
Jeffrey Lund
Piper Armstrong
Wilson Fearn
Stephen Cowley
Courtni Byun
Jordan L. Boyd-Graber
Kevin Seppi
31
17
0
18 May 2019
The emergence of number and syntax units in LSTM language models
The emergence of number and syntax units in LSTM language models
Yair Lakretz
Germán Kruszewski
T. Desbordes
Dieuwke Hupkes
S. Dehaene
Marco Baroni
48
170
0
18 Mar 2019
Topic-Guided Variational Autoencoders for Text Generation
Topic-Guided Variational Autoencoders for Text Generation
Wenlin Wang
Zhe Gan
Hongteng Xu
Ruiyi Zhang
Guoyin Wang
Dinghan Shen
Changyou Chen
Lawrence Carin
BDL
69
127
0
17 Mar 2019
Dirichlet Variational Autoencoder
Dirichlet Variational Autoencoder
Weonyoung Joo
Wonsung Lee
Sungrae Park
Il-Chul Moon
BDL
DRL
100
104
0
09 Jan 2019
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of
  Language with Distributed Compositional Prior
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional Prior
Pankaj Gupta
Yatin Chaudhary
Florian Buettner
Hinrich Schütze
BDL
52
19
0
09 Oct 2018
Latent Topic Conversational Models
Latent Topic Conversational Models
Tsung-Hsien Wen
Minh-Thang Luong
BDL
51
4
0
19 Sep 2018
Implicit Reparameterization Gradients
Implicit Reparameterization Gradients
Michael Figurnov
S. Mohamed
A. Mnih
BDL
97
233
0
22 May 2018
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
Hao Zhang
Bo Chen
D. Guo
Mingyuan Zhou
BDL
73
118
0
04 Mar 2018
Topic Compositional Neural Language Model
Topic Compositional Neural Language Model
Wenlin Wang
Zhe Gan
Wenqi Wang
Dinghan Shen
Jiaji Huang
Ming-Yu Liu
S. Satheesh
Lawrence Carin
38
81
0
28 Dec 2017
SenGen: Sentence Generating Neural Variational Topic Model
SenGen: Sentence Generating Neural Variational Topic Model
Ramesh Nallapati
Igor Melnyk
Abhishek Kumar
Bowen Zhou
BDL
DRL
51
12
0
01 Aug 2017
Topically Driven Neural Language Model
Topically Driven Neural Language Model
Jey Han Lau
Timothy Baldwin
Trevor Cohn
BDL
44
66
0
26 Apr 2017
Autoencoding Variational Inference For Topic Models
Autoencoding Variational Inference For Topic Models
Akash Srivastava
Charles Sutton
BDL
DRL
152
564
0
04 Mar 2017
Detecting (Un)Important Content for Single-Document News Summarization
Detecting (Un)Important Content for Single-Document News Summarization
Yinfei Yang
F. S. Bao
A. Nenkova
49
18
0
26 Feb 2017
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
Adji Bousso Dieng
Chong-Jun Wang
Jianfeng Gao
John Paisley
69
243
0
05 Nov 2016
Reparameterization Gradients through Acceptance-Rejection Sampling
  Algorithms
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms
C. A. Naesseth
Francisco J. R. Ruiz
Scott W. Linderman
David M. Blei
BDL
128
108
0
18 Oct 2016
Nonparametric Spherical Topic Modeling with Word Embeddings
Nonparametric Spherical Topic Modeling with Word Embeddings
N. Batmanghelich
A. Saeedi
Karthik Narasimhan
S. Gershman
61
89
0
01 Apr 2016
Neural Variational Inference for Text Processing
Neural Variational Inference for Text Processing
Yishu Miao
Lei Yu
Phil Blunsom
VLM
DRL
130
622
0
19 Nov 2015
Learning Longer Memory in Recurrent Neural Networks
Learning Longer Memory in Recurrent Neural Networks
Tomas Mikolov
Armand Joulin
S. Chopra
Michaël Mathieu
MarcÁurelio Ranzato
92
259
0
24 Dec 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
437
20,568
0
10 Sep 2014
Neural Variational Inference and Learning in Belief Networks
Neural Variational Inference and Learning in Belief Networks
A. Mnih
Karol Gregor
BDL
171
729
0
31 Jan 2014
Black Box Variational Inference
Black Box Variational Inference
Rajesh Ranganath
S. Gerrish
David M. Blei
DRL
BDL
136
1,167
0
31 Dec 2013
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
Modeling Documents with Deep Boltzmann Machines
Modeling Documents with Deep Boltzmann Machines
Nitish Srivastava
Ruslan Salakhutdinov
Geoffrey E. Hinton
BDL
141
184
0
26 Sep 2013
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