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A Tutorial on Deep Latent Variable Models of Natural Language

A Tutorial on Deep Latent Variable Models of Natural Language

17 December 2018
Yoon Kim
Sam Wiseman
Alexander M. Rush
    BDL
    VLM
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Papers citing "A Tutorial on Deep Latent Variable Models of Natural Language"

12 / 12 papers shown
Title
An Overview on Controllable Text Generation via Variational
  Auto-Encoders
An Overview on Controllable Text Generation via Variational Auto-Encoders
Haoqin Tu
Yitong Li
BDL
19
2
0
15 Nov 2022
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need
  in MOOC Forums
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums
Jialin Yu
Laila Alrajhi
Anoushka Harit
Zhongtian Sun
Alexandra I. Cristea
Lei Shi
BDL
UQCV
16
8
0
26 Apr 2021
Learning Variational Word Masks to Improve the Interpretability of
  Neural Text Classifiers
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
Hanjie Chen
Yangfeng Ji
AAML
VLM
13
62
0
01 Oct 2020
Evaluation of Text Generation: A Survey
Evaluation of Text Generation: A Survey
Asli Celikyilmaz
Elizabeth Clark
Jianfeng Gao
ELM
LM&MA
19
376
0
26 Jun 2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
Chunyuan Li
Xiang Gao
Yuan Li
Baolin Peng
Xiujun Li
Yizhe Zhang
Jianfeng Gao
SSL
DRL
30
181
0
05 Apr 2020
Paraphrase Generation with Latent Bag of Words
Paraphrase Generation with Latent Bag of Words
Yao Fu
Yansong Feng
John P. Cunningham
BDL
25
91
0
07 Jan 2020
Visual Interaction with Deep Learning Models through Collaborative
  Semantic Inference
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference
Sebastian Gehrmann
Hendrik Strobelt
Robert Krüger
Hanspeter Pfister
Alexander M. Rush
HAI
15
57
0
24 Jul 2019
Language GANs Falling Short
Language GANs Falling Short
Massimo Caccia
Lucas Page-Caccia
W. Fedus
Hugo Larochelle
Joelle Pineau
Laurent Charlin
121
215
0
06 Nov 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,338
0
12 Feb 2018
Language as a Latent Variable: Discrete Generative Models for Sentence
  Compression
Language as a Latent Variable: Discrete Generative Models for Sentence Compression
Yishu Miao
Phil Blunsom
201
223
0
23 Sep 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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