ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1511.06038
  4. Cited By
Neural Variational Inference for Text Processing

Neural Variational Inference for Text Processing

19 November 2015
Yishu Miao
Lei Yu
Phil Blunsom
    VLM
    DRL
ArXivPDFHTML

Papers citing "Neural Variational Inference for Text Processing"

31 / 31 papers shown
Title
Evaluating Negative Sampling Approaches for Neural Topic Models
Evaluating Negative Sampling Approaches for Neural Topic Models
Suman Adhya
Avishek Lahiri
Debarshi Kumar Sanyal
Partha Pratim Das
BDL
193
0
0
23 Mar 2025
Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation
Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation
Zhiyin Tan
Jennifer D'Souza
ELM
109
0
0
11 Feb 2025
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
Mayank Nagda
Phil Ostheimer
Sophie Fellenz
448
0
0
22 Oct 2024
GINopic: Topic Modeling with Graph Isomorphism Network
GINopic: Topic Modeling with Graph Isomorphism Network
Suman Adhya
Debarshi Kumar Sanyal
239
4
0
02 Apr 2024
COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling
COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling
Baihan Lin
Djallel Bouneffouf
Yulia Landa
Rachel Jespersen
Cheryl Corcoran
Guillermo Cecchi
84
1
0
22 Feb 2024
SCAT: Second Chance Autoencoder for Textual Data
SCAT: Second Chance Autoencoder for Textual Data
Somaieh Goudarzvand
Gharib Gharibi
Yugyung Lee
34
3
0
11 May 2020
Improved Variational Autoencoders for Text Modeling using Dilated
  Convolutions
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Zichao Yang
Zhiting Hu
Ruslan Salakhutdinov
Taylor Berg-Kirkpatrick
97
389
0
27 Feb 2017
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
105
2,359
0
19 Nov 2015
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
86
2,223
0
18 Nov 2015
The Variational Fair Autoencoder
The Variational Fair Autoencoder
Christos Louizos
Kevin Swersky
Yujia Li
Max Welling
R. Zemel
DRL
221
633
0
03 Nov 2015
Learning Wake-Sleep Recurrent Attention Models
Learning Wake-Sleep Recurrent Attention Models
Jimmy Ba
Roger C. Grosse
Ruslan Salakhutdinov
B. Frey
BDL
79
65
0
22 Sep 2015
FAQ-based Question Answering via Word Alignment
FAQ-based Question Answering via Word Alignment
Zhiguo Wang
Abraham Ittycheriah
33
43
0
09 Jul 2015
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
A. Kumar
Ozan Irsoy
Peter Ondruska
Mohit Iyyer
James Bradbury
Ishaan Gulrajani
Victor Zhong
Romain Paulus
R. Socher
110
1,179
0
24 Jun 2015
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
337
3,547
0
10 Jun 2015
DRAW: A Recurrent Neural Network For Image Generation
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GAN
DRL
161
1,961
0
16 Feb 2015
MADE: Masked Autoencoder for Distribution Estimation
MADE: Masked Autoencoder for Distribution Estimation
M. Germain
Karol Gregor
Iain Murray
Hugo Larochelle
OOD
SyDa
UQCV
168
867
0
12 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Deep Learning for Answer Sentence Selection
Deep Learning for Answer Sentence Selection
Lei Yu
Karl Moritz Hermann
Phil Blunsom
S. Pulman
56
413
0
04 Dec 2014
Memory Networks
Memory Networks
Jason Weston
S. Chopra
Antoine Bordes
GNN
KELM
145
1,705
0
15 Oct 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
521
27,263
0
01 Sep 2014
Semi-Supervised Learning with Deep Generative Models
Semi-Supervised Learning with Deep Generative Models
Diederik P. Kingma
Danilo Jimenez Rezende
S. Mohamed
Max Welling
GAN
SSL
BDL
85
2,740
0
20 Jun 2014
Question Answering with Subgraph Embeddings
Question Answering with Subgraph Embeddings
Antoine Bordes
S. Chopra
Jason Weston
RALM
BDL
GNN
80
713
0
14 Jun 2014
Reweighted Wake-Sleep
Reweighted Wake-Sleep
J. Bornschein
Yoshua Bengio
BDL
85
183
0
11 Jun 2014
Distributed Representations of Sentences and Documents
Distributed Representations of Sentences and Documents
Quoc V. Le
Tomas Mikolov
FaML
249
9,239
0
16 May 2014
Open Question Answering with Weakly Supervised Embedding Models
Open Question Answering with Weakly Supervised Embedding Models
Antoine Bordes
Jason Weston
Nicolas Usunier
83
340
0
16 Apr 2014
Neural Variational Inference and Learning in Belief Networks
Neural Variational Inference and Learning in Belief Networks
A. Mnih
Karol Gregor
BDL
169
729
0
31 Jan 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
435
16,944
0
20 Dec 2013
Deep AutoRegressive Networks
Deep AutoRegressive Networks
Karol Gregor
Ivo Danihelka
A. Mnih
Charles Blundell
Daan Wierstra
AI4TS
BDL
89
282
0
31 Oct 2013
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
371
33,520
0
16 Oct 2013
A Deep and Tractable Density Estimator
A Deep and Tractable Density Estimator
Benigno Uria
Iain Murray
Hugo Larochelle
BDL
91
193
0
07 Oct 2013
Modeling Documents with Deep Boltzmann Machines
Modeling Documents with Deep Boltzmann Machines
Nitish Srivastava
Ruslan Salakhutdinov
Geoffrey E. Hinton
BDL
132
184
0
26 Sep 2013
1