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Effective Estimation of Deep Generative Language Models

Effective Estimation of Deep Generative Language Models

17 April 2019
Tom Pelsmaeker
Wilker Aziz
    BDL
ArXivPDFHTML

Papers citing "Effective Estimation of Deep Generative Language Models"

50 / 62 papers shown
Title
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
393
10,591
0
17 Feb 2020
FlowSeq: Non-Autoregressive Conditional Sequence Generation with
  Generative Flow
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Xuezhe Ma
Chunting Zhou
Xian Li
Graham Neubig
Eduard H. Hovy
AI4TS
BDL
51
191
0
05 Sep 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
Bohan Li
Junxian He
Graham Neubig
Taylor Berg-Kirkpatrick
Yiming Yang
DRL
40
71
0
02 Sep 2019
Reweighted Expectation Maximization
Reweighted Expectation Maximization
Adji Bousso Dieng
John Paisley
VLM
DRL
49
17
0
13 Jun 2019
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL
  Vanishing
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing
Hao Fu
Chunyuan Li
Xiaodong Liu
Jianfeng Gao
Asli Celikyilmaz
Lawrence Carin
ODL
78
364
0
25 Mar 2019
Latent Normalizing Flows for Discrete Sequences
Latent Normalizing Flows for Discrete Sequences
Zachary M. Ziegler
Alexander M. Rush
BDL
DRL
62
127
0
29 Jan 2019
Lagging Inference Networks and Posterior Collapse in Variational
  Autoencoders
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He
Daniel M. Spokoyny
Graham Neubig
Taylor Berg-Kirkpatrick
BDL
DRL
85
273
0
16 Jan 2019
Preventing Posterior Collapse with delta-VAEs
Preventing Posterior Collapse with delta-VAEs
Ali Razavi
Aaron van den Oord
Ben Poole
Oriol Vinyals
DRL
90
171
0
10 Jan 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative
  Models
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
Will Grathwohl
Ricky T. Q. Chen
J. Bettencourt
Ilya Sutskever
David Duvenaud
DRL
147
873
0
02 Oct 2018
Taming VAEs
Taming VAEs
Danilo Jimenez Rezende
Fabio Viola
DRL
CML
65
186
0
01 Oct 2018
Spherical Latent Spaces for Stable Variational Autoencoders
Spherical Latent Spaces for Stable Variational Autoencoders
Jiacheng Xu
Greg Durrett
BDL
DRL
61
195
0
31 Aug 2018
Unsupervised Learning of Syntactic Structure with Invertible Neural
  Projections
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections
Junxian He
Graham Neubig
Taylor Berg-Kirkpatrick
BDL
48
41
0
28 Aug 2018
Auto-Encoding Variational Neural Machine Translation
Auto-Encoding Variational Neural Machine Translation
Bryan Eikema
Wilker Aziz
DRL
BDL
56
39
0
27 Jul 2018
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a
  Structured Variational Autoencoder
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder
Caio Corro
Ivan Titov
BDL
40
56
0
25 Jul 2018
Avoiding Latent Variable Collapse With Generative Skip Models
Avoiding Latent Variable Collapse With Generative Skip Models
Adji Bousso Dieng
Yoon Kim
Alexander M. Rush
David M. Blei
DRL
48
174
0
12 Jul 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
414
5,111
0
19 Jun 2018
A Stochastic Decoder for Neural Machine Translation
A Stochastic Decoder for Neural Machine Translation
P. Schulz
Wilker Aziz
Trevor Cohn
BDL
67
29
0
28 May 2018
AMR Parsing as Graph Prediction with Latent Alignment
AMR Parsing as Graph Prediction with Latent Alignment
Chunchuan Lyu
Ivan Titov
GNN
BDL
49
128
0
14 May 2018
A Hierarchical Latent Structure for Variational Conversation Modeling
A Hierarchical Latent Structure for Variational Conversation Modeling
Yookoon Park
Jaemin Cho
Gunhee Kim
BDL
DRL
60
96
0
10 Apr 2018
Hyperspherical Variational Auto-Encoders
Hyperspherical Variational Auto-Encoders
Tim R. Davidson
Luca Falorsi
Nicola De Cao
Thomas Kipf
Jakub M. Tomczak
DRL
BDL
104
384
0
03 Apr 2018
Neural Autoregressive Flows
Neural Autoregressive Flows
Chin-Wei Huang
David M. Krueger
Alexandre Lacoste
Aaron Courville
DRL
AI4CE
146
442
0
03 Apr 2018
Sylvester Normalizing Flows for Variational Inference
Sylvester Normalizing Flows for Variational Inference
Rianne van den Berg
Leonard Hasenclever
Jakub M. Tomczak
Max Welling
BDL
DRL
92
253
0
15 Mar 2018
Deep Generative Model for Joint Alignment and Word Representation
Deep Generative Model for Joint Alignment and Word Representation
Miguel Rios
Wilker Aziz
K. Simaán
61
4
0
16 Feb 2018
Semi-Amortized Variational Autoencoders
Semi-Amortized Variational Autoencoders
Yoon Kim
Sam Wiseman
Andrew C. Miller
David Sontag
Alexander M. Rush
BDL
DRL
135
243
0
07 Feb 2018
Nonparametric Inference for Auto-Encoding Variational Bayes
Nonparametric Inference for Auto-Encoding Variational Bayes
Erik Bodin
Iman Malik
Carl Henrik Ek
Neill D. F. Campbell
DRL
BDL
26
16
0
18 Dec 2017
Diverse and Accurate Image Description Using a Variational Auto-Encoder
  with an Additive Gaussian Encoding Space
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
Liwei Wang
Alex Schwing
Svetlana Lazebnik
CoGe
88
175
0
19 Nov 2017
Z-Forcing: Training Stochastic Recurrent Networks
Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal
Alessandro Sordoni
Marc-Alexandre Côté
Nan Rosemary Ke
Yoshua Bengio
BDL
67
184
0
15 Nov 2017
Wasserstein Auto-Encoders
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
119
1,057
0
05 Nov 2017
On the State of the Art of Evaluation in Neural Language Models
On the State of the Art of Evaluation in Neural Language Models
Gábor Melis
Chris Dyer
Phil Blunsom
68
535
0
18 Jul 2017
InfoVAE: Information Maximizing Variational Autoencoders
InfoVAE: Information Maximizing Variational Autoencoders
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRL
83
446
0
07 Jun 2017
Latent Intention Dialogue Models
Latent Intention Dialogue Models
Tsung-Hsien Wen
Yishu Miao
Phil Blunsom
S. Young
53
146
0
29 May 2017
Masked Autoregressive Flow for Density Estimation
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
210
1,354
0
19 May 2017
VAE with a VampPrior
VAE with a VampPrior
Jakub M. Tomczak
Max Welling
GAN
BDL
66
633
0
19 May 2017
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled
  Sequence Transduction
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction
Chunting Zhou
Graham Neubig
DRL
BDL
53
55
0
06 Apr 2017
Learning Discourse-level Diversity for Neural Dialog Models using
  Conditional Variational Autoencoders
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
Tiancheng Zhao
Ran Zhao
M. Eskénazi
51
754
0
31 Mar 2017
Nonparametric Variational Auto-encoders for Hierarchical Representation
  Learning
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning
Prasoon Goyal
Zhiting Hu
Xiaodan Liang
Chenyu Wang
Eric Xing
CML
BDL
66
117
0
21 Mar 2017
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
99
389
0
27 Feb 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation
A Hybrid Convolutional Variational Autoencoder for Text Generation
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
67
252
0
08 Feb 2017
Variational Lossy Autoencoder
Variational Lossy Autoencoder
Xi Chen
Diederik P. Kingma
Tim Salimans
Yan Duan
Prafulla Dhariwal
John Schulman
Ilya Sutskever
Pieter Abbeel
DRL
SSL
GAN
147
676
0
08 Nov 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Yunchen Pu
Zhe Gan
Ricardo Henao
Xin Yuan
Chunyuan Li
Andrew Stevens
Lawrence Carin
BDL
CoGe
86
753
0
28 Sep 2016
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
353
223
0
23 Sep 2016
Improving Variational Inference with Inverse Autoregressive Flow
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma
Tim Salimans
Rafal Jozefowicz
Xi Chen
Ilya Sutskever
Max Welling
BDL
DRL
137
1,820
0
15 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
266
78
0
26 May 2016
Variational Neural Machine Translation
Variational Neural Machine Translation
Biao Zhang
Deyi Xiong
Jinsong Su
Hong Duan
Min Zhang
VLM
DRL
61
203
0
25 May 2016
Sequential Neural Models with Stochastic Layers
Sequential Neural Models with Stochastic Layers
Marco Fraccaro
Søren Kaae Sønderby
Ulrich Paquet
Ole Winther
BDL
112
398
0
24 May 2016
Stick-Breaking Variational Autoencoders
Stick-Breaking Variational Autoencoders
Marco Cote
Padhraic Smyth
BDL
DRL
113
163
0
20 May 2016
A Hierarchical Latent Variable Encoder-Decoder Model for Generating
  Dialogues
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Iulian Serban
Alessandro Sordoni
Ryan J. Lowe
Laurent Charlin
Joelle Pineau
Aaron Courville
Yoshua Bengio
BDL
136
1,106
0
19 May 2016
Recurrent Neural Network Grammars
Recurrent Neural Network Grammars
Chris Dyer
A. Kuncoro
Miguel Ballesteros
Noah A. Smith
GNN
89
526
0
25 Feb 2016
Ladder Variational Autoencoders
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDL
DRL
97
912
0
06 Feb 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural
  Networks
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Y. Gal
Zoubin Ghahramani
UQCV
DRL
BDL
185
1,650
0
16 Dec 2015
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