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Variational Lossy Autoencoder
v1v2 (latest)

Variational Lossy Autoencoder

8 November 2016
Xi Chen
Diederik P. Kingma
Tim Salimans
Yan Duan
Prafulla Dhariwal
John Schulman
Ilya Sutskever
Pieter Abbeel
    DRLSSLGAN
ArXiv (abs)PDFHTML

Papers citing "Variational Lossy Autoencoder"

50 / 398 papers shown
Neural Joint Source-Channel Coding
Neural Joint Source-Channel Coding
Kristy Choi
Kedar Tatwawadi
Aditya Grover
Tsachy Weissman
Stefano Ermon
252
40
0
19 Nov 2018
Generative Dual Adversarial Network for Generalized Zero-shot Learning
Generative Dual Adversarial Network for Generalized Zero-shot Learning
He Huang
Chang-Dong Wang
Philip S. Yu
Chang-Dong Wang
GAN
278
232
0
12 Nov 2018
A Novel Predictive-Coding-Inspired Variational RNN Model for Online
  Prediction and Recognition
A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition
Ahmadreza Ahmadi
Jun Tani
BDLDRL
155
4
0
04 Nov 2018
Content preserving text generation with attribute controls
Content preserving text generation with attribute controls
Lajanugen Logeswaran
Honglak Lee
Samy Bengio
190
122
0
03 Nov 2018
Deep Generative Model with Beta Bernoulli Process for Modeling and
  Learning Confounding Factors
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors
P. Gyawali
Cameron Knight
S. Ghimire
B. Horácek
J. Sapp
Linwei Wang
BDLDRL
170
1
0
31 Oct 2018
Gaussian Process Prior Variational Autoencoders
Gaussian Process Prior Variational Autoencoders
F. P. Casale
Adrian Dalca
Luca Saglietti
Jennifer Listgarten
Nicolò Fusi
BDLCML
230
155
0
28 Oct 2018
The Variational Deficiency Bottleneck
The Variational Deficiency Bottleneck
P. Banerjee
Guido Montúfar
263
7
0
27 Oct 2018
Resampled Priors for Variational Autoencoders
Resampled Priors for Variational Autoencoders
Matthias Bauer
A. Mnih
BDLDRL
191
118
0
26 Oct 2018
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
George Tucker
Dieterich Lawson
S. Gu
Chris J. Maddison
BDL
227
111
0
09 Oct 2018
NEXUS Network: Connecting the Preceding and the Following in Dialogue
  Generation
NEXUS Network: Connecting the Preceding and the Following in Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Hui Su
Xiaoyu Shen
Wenjie Li
Dietrich Klakow
215
30
0
27 Sep 2018
Joint Autoregressive and Hierarchical Priors for Learned Image
  Compression
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David C. Minnen
Johannes Ballé
G. Toderici
305
1,469
0
08 Sep 2018
Constrained Generation of Semantically Valid Graphs via Regularizing
  Variational Autoencoders
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Tengfei Ma
Jie Chen
Cao Xiao
315
221
0
07 Sep 2018
Spherical Latent Spaces for Stable Variational Autoencoders
Spherical Latent Spaces for Stable Variational Autoencoders
Jiacheng Xu
Greg Durrett
BDLDRL
233
210
0
31 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of
  Graphical Modeling
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
Zhijian Ou
255
15
0
05 Aug 2018
Deep Appearance Models for Face Rendering
Deep Appearance Models for Face Rendering
Stephen Lombardi
Jason M. Saragih
Shunsuke Saito
Yaser Sheikh
CVBM3DH
212
302
0
01 Aug 2018
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable
  Speech Synthesis
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis
G. Henter
Jaime Lorenzo-Trueba
Xin Wang
Junichi Yamagishi
DRLSSL
196
61
0
30 Jul 2018
The Variational Homoencoder: Learning to learn high capacity generative
  models from few examples
The Variational Homoencoder: Learning to learn high capacity generative models from few examples
Luke B. Hewitt
Maxwell Nye
Andreea Gane
Tommi Jaakkola
J. Tenenbaum
BDLDRLGAN
157
70
0
24 Jul 2018
Understanding and Improving Interpolation in Autoencoders via an
  Adversarial Regularizer
Understanding and Improving Interpolation in Autoencoders via an Adversarial RegularizerInternational Conference on Learning Representations (ICLR), 2018
David Berthelot
Colin Raffel
Aurko Roy
Ian Goodfellow
284
277
0
19 Jul 2018
Bounded Information Rate Variational Autoencoders
Bounded Information Rate Variational Autoencoders
D. Braithwaite
W. Kleijn
DRL
82
10
0
19 Jul 2018
Item Recommendation with Variational Autoencoders and Heterogenous
  Priors
Item Recommendation with Variational Autoencoders and Heterogenous Priors
Giannis Karamanolakis
Kevin Raji Cherian
A. Narayan
Jie Yuan
Da Tang
Tony Jebara
DRL
151
49
0
17 Jul 2018
IntroVAE: Introspective Variational Autoencoders for Photographic Image
  Synthesis
IntroVAE: Introspective Variational Autoencoders for Photographic Image SynthesisNeural Information Processing Systems (NeurIPS), 2018
Huaibo Huang
Zhihang Li
Ran He
Zhenan Sun
Tieniu Tan
DRL
228
285
0
17 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
221
183
0
12 Jul 2018
TherML: Thermodynamics of Machine Learning
TherML: Thermodynamics of Machine Learning
Alexander A. Alemi
Ian S. Fischer
DRLAI4CE
169
30
0
11 Jul 2018
Understanding VAEs in Fisher-Shannon Plane
Understanding VAEs in Fisher-Shannon Plane
Huangjie Zheng
Jiangchao Yao
Ya Zhang
Ivor W. Tsang
Jia Wang
130
13
0
10 Jul 2018
Handling Incomplete Heterogeneous Data using VAEs
Handling Incomplete Heterogeneous Data using VAEs
A. Nazábal
Pablo M. Olmos
Zoubin Ghahramani
Isabel Valera
328
400
0
10 Jul 2018
Learning a Representation Map for Robot Navigation using Deep
  Variational Autoencoder
Learning a Representation Map for Robot Navigation using Deep Variational Autoencoder
Kai-Chun Hu
Peter O'Connor
SSLDRL
99
4
0
05 Jul 2018
The challenge of realistic music generation: modelling raw audio at
  scale
The challenge of realistic music generation: modelling raw audio at scaleNeural Information Processing Systems (NeurIPS), 2018
Sander Dieleman
Aaron van den Oord
Karen Simonyan
268
189
0
26 Jun 2018
A Variational Prosody Model for Mapping the Context-Sensitive Variation
  of Functional Prosodic Prototypes
A Variational Prosody Model for Mapping the Context-Sensitive Variation of Functional Prosodic Prototypes
B. Gerazov
Gérard Bailly
Omar Mohammed
Yi Xu
Philip N. Garner
119
7
0
22 Jun 2018
InfoCatVAE: Representation Learning with Categorical Variational
  Autoencoders
InfoCatVAE: Representation Learning with Categorical Variational Autoencoders
Edouard Pineau
Marc Lelarge
DRL
144
15
0
20 Jun 2018
Nonparametric Topic Modeling with Neural Inference
Nonparametric Topic Modeling with Neural Inference
Xuefei Ning
Yin Zheng
Zhuxi Jiang
Yu Wang
Huazhong Yang
Junzhou Huang
BDL
119
21
0
18 Jun 2018
The Information Autoencoding Family: A Lagrangian Perspective on Latent
  Variable Generative Models
The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRLGAN
131
20
0
18 Jun 2018
Controllable Semantic Image Inpainting
Controllable Semantic Image Inpainting
Jin Xu
Yee Whye Teh
119
7
0
15 Jun 2018
Improving latent variable descriptiveness with AutoGen
Improving latent variable descriptiveness with AutoGen
Alex Mansbridge
Roberto Fierimonte
Ilya Feige
David Barber
DRL
89
2
0
12 Jun 2018
Explaining Away Syntactic Structure in Semantic Document Representations
Explaining Away Syntactic Structure in Semantic Document Representations
Erik Holmer
Andreas Marfurt
GAN
81
1
0
05 Jun 2018
Holographic Neural Architectures
Holographic Neural Architectures
Tariq Daouda
Jeremie Zumer
C. Perreault
S. Lemieux
GAN
33
0
0
04 Jun 2018
Automatic generation of object shapes with desired functionalities
Automatic generation of object shapes with desired functionalities
Mihai Andries
Atabak Dehban
J. Santos-Victor
73
0
0
30 May 2018
Implicit Autoencoders
Implicit Autoencoders
Alireza Makhzani
GANDRL
137
18
0
24 May 2018
GumBolt: Extending Gumbel trick to Boltzmann priors
GumBolt: Extending Gumbel trick to Boltzmann priors
Amir Khoshaman
Mohammad H. Amin
210
15
0
18 May 2018
Unsupervised Discrete Sentence Representation Learning for Interpretable
  Neural Dialog Generation
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2018
Tiancheng Zhao
Kyusong Lee
M. Eskénazi
DRL
231
142
0
22 Apr 2018
Eval all, trust a few, do wrong to none: Comparing sentence generation
  models
Eval all, trust a few, do wrong to none: Comparing sentence generation models
Ondřej Cífka
Aliaksei Severyn
Enrique Alfonseca
Katja Filippova
192
40
0
21 Apr 2018
Disentangling Controllable and Uncontrollable Factors of Variation by
  Interacting with the World
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World
Yoshihide Sawada
DRL
210
10
0
19 Apr 2018
Variational Composite Autoencoders
Variational Composite Autoencoders
Jiangchao Yao
Ivor Tsang
Ya Zhang
BDLDRL
81
0
0
12 Apr 2018
A Hierarchical Latent Structure for Variational Conversation Modeling
A Hierarchical Latent Structure for Variational Conversation Modeling
Yookoon Park
Jaemin Cho
Gunhee Kim
BDLDRL
180
97
0
10 Apr 2018
Associative Compression Networks for Representation Learning
Associative Compression Networks for Representation Learning
Alex Graves
Jacob Menick
Aaron van den Oord
CML
215
21
0
06 Apr 2018
Expressive Speech Synthesis via Modeling Expressions with Variational
  Autoencoder
Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder
K. Akuzawa
Yusuke Iwasawa
Y. Matsuo
231
144
0
06 Apr 2018
Structured Disentangled Representations
Structured Disentangled Representations
Babak Esmaeili
Hao Wu
Sarthak Jain
Alican Bozkurt
N. Siddharth
Brooks Paige
Dana H. Brooks
Jennifer Dy
Jan-Willem van de Meent
OODCMLBDLDRL
307
175
0
06 Apr 2018
Variational Rejection Sampling
Variational Rejection Sampling
Aditya Grover
Ramki Gummadi
Miguel Lazaro-Gredilla
Dale Schuurmans
Stefano Ermon
BDL
191
35
0
05 Apr 2018
Training VAEs Under Structured Residuals
Training VAEs Under Structured Residuals
Garoe Dorta
Sara Vicente
Lourdes Agapito
Neill D. F. Campbell
Ivor J. A. Simpson
BDLDRL
144
13
0
03 Apr 2018
Neural Autoregressive Flows
Neural Autoregressive Flows
Chin-Wei Huang
David M. Krueger
Alexandre Lacoste
Aaron Courville
DRLAI4CE
420
480
0
03 Apr 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Eric Zhan
Stephan Zheng
Yisong Yue
Long Sha
P. Lucey
590
97
0
20 Mar 2018
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