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Neural Discrete Representation Learning
v1v2 (latest)

Neural Discrete Representation Learning

2 November 2017
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
    BDLSSLOCL
ArXiv (abs)PDFHTML

Papers citing "Neural Discrete Representation Learning"

50 / 3,801 papers shown
Title
Neural Joint Source-Channel Coding
Neural Joint Source-Channel Coding
Kristy Choi
Kedar Tatwawadi
Aditya Grover
Tsachy Weissman
Stefano Ermon
234
40
0
19 Nov 2018
Harmonic Recomposition using Conditional Autoregressive Modeling
Harmonic Recomposition using Conditional Autoregressive Modeling
Kyle Kastner
Rithesh Kumar
Tim Cooijmans
Aaron Courville
87
0
0
18 Nov 2018
Extractive Summary as Discrete Latent Variables
Extractive Summary as Discrete Latent Variables
Aran Komatsuzaki
138
3
0
14 Nov 2018
Learning Latent Dynamics for Planning from Pixels
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
679
1,643
0
12 Nov 2018
Neural Image Compression for Gigapixel Histopathology Image Analysis
Neural Image Compression for Gigapixel Histopathology Image AnalysisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
David Tellez
G. Litjens
Jeroen van der Laak
F. Ciompi
178
231
0
07 Nov 2018
Unsupervised Learning of Interpretable Dialog Models
Unsupervised Learning of Interpretable Dialog Models
Dhiraj Madan
Lucian Popa
Gaurav Pandey
Sachindra Joshi
96
0
0
02 Nov 2018
(Self-Attentive) Autoencoder-based Universal Language Representation for
  Machine Translation
(Self-Attentive) Autoencoder-based Universal Language Representation for Machine Translation
Carlos Escolano
Marta R. Costa-jussá
José A. R. Fonollosa
SSL
95
8
0
15 Oct 2018
Predictive Uncertainty through Quantization
Predictive Uncertainty through Quantization
Bastiaan S. Veeling
Rianne van den Berg
Max Welling
UQCV
116
1
0
12 Oct 2018
Piano Genie
Piano Genie
Chris Donahue
Ian Simon
Sander Dieleman
122
47
0
11 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
Tangent: Automatic differentiation using source-code transformation for
  dynamically typed array programming
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programmingNeural Information Processing Systems (NeurIPS), 2018
B. V. Merrienboer
D. Moldovan
Alexander B. Wiltschko
204
33
0
25 Sep 2018
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with
  Applications to Style Transfer
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer
Gino Brunner
Andres Konrad
Yuyi Wang
Roger Wattenhofer
198
141
0
20 Sep 2018
Symbolic Music Genre Transfer with CycleGAN
Symbolic Music Genre Transfer with CycleGAN
Gino Brunner
Yuyi Wang
Roger Wattenhofer
Sumu Zhao
GAN
228
79
0
20 Sep 2018
Latent Space Optimal Transport for Generative Models
Latent Space Optimal Transport for Generative Models
Huidong Liu
Yang Guo
Na Lei
Zhixin Shu
S. Yau
Dimitris Samaras
X. Gu
OTDRL
138
8
0
16 Sep 2018
Deep Compressive Autoencoder for Action Potential Compression in
  Large-Scale Neural Recording
Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural Recording
Tong Wu
Wenfeng Zhao
E. Keefer
Zhi-Xin Yang
127
55
0
14 Sep 2018
SCORES: Shape Composition with Recursive Substructure Priors
SCORES: Shape Composition with Recursive Substructure Priors
Chenyang Zhu
Kai Xu
S. Chaudhuri
Renjiao Yi
Hao Zhang
3DPC
124
100
0
14 Sep 2018
Variational Autoencoder with Implicit Optimal Priors
Variational Autoencoder with Implicit Optimal Priors
Hiroshi Takahashi
Tomoharu Iwata
Yuki Yamanaka
Masanori Yamada
Satoshi Yagi
DRL
218
67
0
14 Sep 2018
Hierarchical Quantized Representations for Script Generation
Hierarchical Quantized Representations for Script Generation
Noah Weber
L. Shekhar
Niranjan Balasubramanian
Nathanael Chambers
BDL
133
32
0
28 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
229
15
0
05 Aug 2018
Variational Information Bottleneck on Vector Quantized Autoencoders
Variational Information Bottleneck on Vector Quantized Autoencoders
Hanwei Wu
M. Flierl
DRL
145
6
0
02 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
187
61
0
30 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
276
0
19 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
204
183
0
12 Jul 2018
Learning Product Codebooks using Vector Quantized Autoencoders for Image
  Retrieval
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval
Hanwei Wu
M. Flierl
SSLCMLDRL
271
22
0
12 Jul 2018
Guided evolutionary strategies: Augmenting random search with surrogate
  gradients
Guided evolutionary strategies: Augmenting random search with surrogate gradients
Niru Maheswaranathan
Luke Metz
George Tucker
Dami Choi
Jascha Narain Sohl-Dickstein
265
22
0
26 Jun 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
253
189
0
26 Jun 2018
Autoregressive Quantile Networks for Generative Modeling
Autoregressive Quantile Networks for Generative Modeling
Georg Ostrovski
Will Dabney
Rémi Munos
DRL
190
88
0
14 Jun 2018
Gaussian mixture models with Wasserstein distance
Gaussian mixture models with Wasserstein distance
Benoit Gaujac
Ilya Feige
David Barber
117
9
0
12 Jun 2018
Spreading vectors for similarity search
Spreading vectors for similarity search
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Edouard Grave
MQ
285
144
0
08 Jun 2018
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
Vincent Fortuin
Matthias Huser
Francesco Locatello
Heiko Strathmann
Gunnar Rätsch
BDLAI4TS
283
150
0
06 Jun 2018
StarGAN-VC: Non-parallel many-to-many voice conversion with star
  generative adversarial networks
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
Hirokazu Kameoka
Takuhiro Kaneko
Kou Tanaka
Nobukatsu Hojo
151
401
0
06 Jun 2018
A New Framework for Machine Intelligence: Concepts and Prototype
A New Framework for Machine Intelligence: Concepts and Prototype
Abel Torres Montoya
132
0
0
06 Jun 2018
Theory and Experiments on Vector Quantized Autoencoders
Theory and Experiments on Vector Quantized Autoencoders
Aurko Roy
Ashish Vaswani
Arvind Neelakantan
Niki Parmar
214
97
0
28 May 2018
Variational Inference for Data-Efficient Model Learning in POMDPs
Variational Inference for Data-Efficient Model Learning in POMDPs
Sebastian Tschiatschek
Kai Arulkumaran
Jan Stühmer
Katja Hofmann
127
16
0
23 May 2018
A Universal Music Translation Network
A Universal Music Translation Network
Noam Mor
Lior Wolf
Adam Polyak
Yaniv Taigman
323
112
0
21 May 2018
NASH: Toward End-to-End Neural Architecture for Generative Semantic
  Hashing
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing
Dinghan Shen
Qinliang Su
Paidamoyo Chapfuwa
Wenlin Wang
Guoyin Wang
Lawrence Carin
Ricardo Henao
130
61
0
14 May 2018
Towards a universal neural network encoder for time series
Towards a universal neural network encoder for time series
Joan Serrà
Santiago Pascual
Alexandros Karatzoglou
AI4TS
158
129
0
10 May 2018
Competitive Training of Mixtures of Independent Deep Generative Models
Competitive Training of Mixtures of Independent Deep Generative Models
Francesco Locatello
Damien Vincent
Ilya O. Tolstikhin
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
OOD
203
3
0
30 Apr 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
227
142
0
22 Apr 2018
Variational Inference In Pachinko Allocation Machines
Variational Inference In Pachinko Allocation Machines
Akash Srivastava
Charles Sutton
137
6
0
21 Apr 2018
Associative Compression Networks for Representation Learning
Associative Compression Networks for Representation Learning
Alex Graves
Jacob Menick
Aaron van den Oord
CML
202
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
228
144
0
06 Apr 2018
Conditional End-to-End Audio Transforms
Conditional End-to-End Audio Transforms
Albert Haque
Michelle Guo
Prateek Verma
278
41
0
30 Mar 2018
Complex-Valued Restricted Boltzmann Machine for Direct Speech
  Parameterization from Complex Spectra
Complex-Valued Restricted Boltzmann Machine for Direct Speech Parameterization from Complex Spectra
Toru Nakashika
Shinji Takaki
Junichi Yamagishi
31
1
0
27 Mar 2018
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with
  Tacotron
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
RJ Skerry-Ryan
Eric Battenberg
Y. Xiao
Yuxuan Wang
Daisy Stanton
Joel Shor
Ron J. Weiss
R. Clark
Rif A. Saurous
187
580
0
24 Mar 2018
Style Tokens: Unsupervised Style Modeling, Control and Transfer in
  End-to-End Speech Synthesis
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
Yuxuan Wang
Daisy Stanton
Yu Zhang
RJ Skerry-Ryan
Eric Battenberg
Joel Shor
Y. Xiao
Fei Ren
Ye Jia
Rif A. Saurous
281
884
0
23 Mar 2018
On the difficulty of a distributional semantics of spoken language
On the difficulty of a distributional semantics of spoken language
Grzegorz Chrupała
Lieke Gelderloos
Ákos Kádár
Afra Alishahi
95
6
0
23 Mar 2018
Fast Decoding in Sequence Models using Discrete Latent Variables
Fast Decoding in Sequence Models using Discrete Latent Variables
Łukasz Kaiser
Aurko Roy
Ashish Vaswani
Niki Parmar
Samy Bengio
Jakob Uszkoreit
Noam M. Shazeer
461
246
0
09 Mar 2018
Distribution Matching in Variational Inference
Distribution Matching in Variational Inference
Mihaela Rosca
Balaji Lakshminarayanan
S. Mohamed
GANCMLDRL
347
101
0
19 Feb 2018
Hierarchical Text Generation and Planning for Strategic Dialogue
Hierarchical Text Generation and Planning for Strategic Dialogue
Denis Yarats
M. Lewis
238
60
0
15 Dec 2017
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