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1904.08194
Cited By
Effective Estimation of Deep Generative Language Models
17 April 2019
Tom Pelsmaeker
Wilker Aziz
BDL
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Papers citing
"Effective Estimation of Deep Generative Language Models"
50 / 62 papers shown
Title
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
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
Bohan Li
Junxian He
Graham Neubig
Taylor Berg-Kirkpatrick
Yiming Yang
DRL
40
71
0
02 Sep 2019
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
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
Zachary M. Ziegler
Alexander M. Rush
BDL
DRL
62
127
0
29 Jan 2019
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
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
Will Grathwohl
Ricky T. Q. Chen
J. Bettencourt
Ilya Sutskever
David Duvenaud
DRL
147
873
0
02 Oct 2018
Taming VAEs
Danilo Jimenez Rezende
Fabio Viola
DRL
CML
65
186
0
01 Oct 2018
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
Junxian He
Graham Neubig
Taylor Berg-Kirkpatrick
BDL
48
41
0
28 Aug 2018
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
Caio Corro
Ivan Titov
BDL
40
56
0
25 Jul 2018
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
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
414
5,111
0
19 Jun 2018
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
Chunchuan Lyu
Ivan Titov
GNN
BDL
49
128
0
14 May 2018
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
Tim R. Davidson
Luca Falorsi
Nicola De Cao
Thomas Kipf
Jakub M. Tomczak
DRL
BDL
104
384
0
03 Apr 2018
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
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
Miguel Rios
Wilker Aziz
K. Simaán
61
4
0
16 Feb 2018
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
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
Liwei Wang
Alex Schwing
Svetlana Lazebnik
CoGe
88
175
0
19 Nov 2017
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
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
Gábor Melis
Chris Dyer
Phil Blunsom
68
535
0
18 Jul 2017
InfoVAE: Information Maximizing Variational Autoencoders
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRL
83
446
0
07 Jun 2017
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
George Papamakarios
Theo Pavlakou
Iain Murray
210
1,354
0
19 May 2017
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
Chunting Zhou
Graham Neubig
DRL
BDL
53
55
0
06 Apr 2017
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
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
Zichao Yang
Zhiting Hu
Ruslan Salakhutdinov
Taylor Berg-Kirkpatrick
99
389
0
27 Feb 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
67
252
0
08 Feb 2017
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
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
Yishu Miao
Phil Blunsom
353
223
0
23 Sep 2016
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
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
Biao Zhang
Deyi Xiong
Jinsong Su
Hong Duan
Min Zhang
VLM
DRL
61
203
0
25 May 2016
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
Marco Cote
Padhraic Smyth
BDL
DRL
113
163
0
20 May 2016
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
Chris Dyer
A. Kuncoro
Miguel Ballesteros
Noah A. Smith
GNN
89
526
0
25 Feb 2016
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
Y. Gal
Zoubin Ghahramani
UQCV
DRL
BDL
185
1,650
0
16 Dec 2015
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