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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 / 3,803 papers shown
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence
  Matching
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence MatchingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Jihun Choi
Taeuk Kim
Sang-goo Lee
BDL
152
6
0
04 Jun 2019
MelNet: A Generative Model for Audio in the Frequency Domain
MelNet: A Generative Model for Audio in the Frequency Domain
Sean Vasquez
M. Lewis
DiffM
158
140
0
04 Jun 2019
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio
  voice conversion
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversionNeural Information Processing Systems (NeurIPS), 2019
Joan Serrà
Santiago Pascual
Carlos Segura
CVBM
182
90
0
03 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
Generating Diverse High-Fidelity Images with VQ-VAE-2Neural Information Processing Systems (NeurIPS), 2019
Ali Razavi
Aaron van den Oord
Oriol Vinyals
DRLBDL
580
2,134
0
02 Jun 2019
Entropy Minimization In Emergent Languages
Entropy Minimization In Emergent Languages
Eugene Kharitonov
Rahma Chaabouni
Diane Bouchacourt
Marco Baroni
211
3
0
31 May 2019
Unsupervised Paraphrasing without Translation
Unsupervised Paraphrasing without TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Aurko Roy
David Grangier
BDLLRM
180
65
0
29 May 2019
Discrete Infomax Codes for Supervised Representation Learning
Discrete Infomax Codes for Supervised Representation LearningEntropy (Entropy), 2019
Yoonho Lee
Wonjae Kim
Wonpyo Park
Seungjin Choi
237
4
0
28 May 2019
Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice
  Conversion
Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice ConversionInterspeech (Interspeech), 2019
Andy T. Liu
Po-Chun Hsu
Hung-yi Lee
SSL
178
30
0
28 May 2019
VQVAE Unsupervised Unit Discovery and Multi-scale Code2Spec Inverter for
  Zerospeech Challenge 2019
VQVAE Unsupervised Unit Discovery and Multi-scale Code2Spec Inverter for Zerospeech Challenge 2019Interspeech (Interspeech), 2019
Andros Tjandra
Berrak Sisman
Mingyang Zhang
S. Sakti
Haizhou Li
Satoshi Nakamura
177
76
0
27 May 2019
Quantization-Based Regularization for Autoencoders
Quantization-Based Regularization for Autoencoders
Hanwei Wu
M. Flierl
DRL
164
2
0
27 May 2019
Learning Discrete and Continuous Factors of Data via Alternating
  Disentanglement
Learning Discrete and Continuous Factors of Data via Alternating DisentanglementInternational Conference on Machine Learning (ICML), 2019
Yeonwoo Jeong
Hyun Oh Song
105
50
0
23 May 2019
Non-Autoregressive Neural Text-to-Speech
Non-Autoregressive Neural Text-to-Speech
Kainan Peng
Ming-Yu Liu
Z. Song
Kexin Zhao
211
40
0
21 May 2019
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces
Bryan Seybold
Emily Fertig
Alexander A. Alemi
Ian S. Fischer
DRL
155
4
0
17 May 2019
MoGlow: Probabilistic and controllable motion synthesis using
  normalising flows
MoGlow: Probabilistic and controllable motion synthesis using normalising flowsACM Transactions on Graphics (TOG), 2019
G. Henter
Simon Alexanderson
Jonas Beskow
279
102
0
16 May 2019
Towards Interlingua Neural Machine Translation
Towards Interlingua Neural Machine Translation
Carlos Escolano
Marta R. Costa-jussá
José A. R. Fonollosa
CLLAI4CE
113
24
0
15 May 2019
Improving Discrete Latent Representations With Differentiable
  Approximation Bridges
Improving Discrete Latent Representations With Differentiable Approximation BridgesIEEE International Joint Conference on Neural Network (IJCNN), 2019
Jason Ramapuram
Russ Webb
DRL
92
9
0
09 May 2019
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient
  Backpropagation Through Categorical Variables
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical VariablesInternational Conference on Machine Learning (ICML), 2019
Mingzhang Yin
Yuguang Yue
Mingyuan Zhou
166
24
0
04 May 2019
Incorporating Symbolic Sequential Modeling for Speech Enhancement
Incorporating Symbolic Sequential Modeling for Speech EnhancementInterspeech (Interspeech), 2019
Chien-Feng Liao
Yu Tsao
Xugang Lu
Hisashi Kawai
169
18
0
30 Apr 2019
Deep Neuroevolution of Recurrent and Discrete World Models
Deep Neuroevolution of Recurrent and Discrete World ModelsAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2019
S. Risi
Kenneth O. Stanley
OCL
212
55
0
28 Apr 2019
The Zero Resource Speech Challenge 2019: TTS without T
The Zero Resource Speech Challenge 2019: TTS without T
Ewan Dunbar
Robin Algayres
Julien Karadayi
Mathieu Bernard
Juan Benjumea
...
Lucas Ondel
A. Black
Laurent Besacier
S. Sakti
Emmanuel Dupoux
213
124
0
25 Apr 2019
TTS Skins: Speaker Conversion via ASR
TTS Skins: Speaker Conversion via ASR
Adam Polyak
Lior Wolf
Yaniv Taigman
149
29
0
18 Apr 2019
Unsupervised acoustic unit discovery for speech synthesis using discrete
  latent-variable neural networks
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks
Ryan Eloff
A. Nortje
Benjamin van Niekerk
Avashna Govender
Leanne Nortje
Arnu Pretorius
Elan Van Biljon
Ewald van der Westhuizen
Lisa van Staden
Herman Kamper
DRL
199
59
0
16 Apr 2019
Unsupervised Singing Voice Conversion
Unsupervised Singing Voice Conversion
Eliya Nachmani
Lior Wolf
263
58
0
13 Apr 2019
Learning Problem-agnostic Speech Representations from Multiple
  Self-supervised Tasks
Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks
Santiago Pascual
Mirco Ravanelli
Joan Serrà
Antonio Bonafonte
Yoshua Bengio
SSL
246
255
0
06 Apr 2019
A Learned Representation for Scalable Vector Graphics
A Learned Representation for Scalable Vector Graphics
Raphael Gontijo-Lopes
David R Ha
Douglas Eck
Jonathon Shlens
GANOCL
186
134
0
04 Apr 2019
From Variational to Deterministic Autoencoders
From Variational to Deterministic Autoencoders
Partha Ghosh
Mehdi S. M. Sajjadi
Antonio Vergari
Michael J. Black
Bernhard Schölkopf
DRL
458
291
0
29 Mar 2019
High Fidelity Face Manipulation with Extreme Poses and Expressions
High Fidelity Face Manipulation with Extreme Poses and Expressions
Chaoyou Fu
Yibo Hu
Xiang Wu
Guoli Wang
Qian Zhang
Ran He
CVBM
208
24
0
28 Mar 2019
Information Maximizing Visual Question Generation
Information Maximizing Visual Question Generation
Ranjay Krishna
Michael S. Bernstein
Li Fei-Fei
220
101
0
27 Mar 2019
A RAD approach to deep mixture models
A RAD approach to deep mixture models
Laurent Dinh
Jascha Narain Sohl-Dickstein
Hugo Larochelle
Razvan Pascanu
237
47
0
18 Mar 2019
Deep Switch Networks for Generating Discrete Data and Language
Deep Switch Networks for Generating Discrete Data and Language
Payam Delgosha
Naveen Goela
79
0
0
14 Mar 2019
Diagnosing and Enhancing VAE Models
Diagnosing and Enhancing VAE Models
Bin Dai
David Wipf
DRL
297
415
0
14 Mar 2019
On Adversarial Mixup Resynthesis
On Adversarial Mixup Resynthesis
Christopher Beckham
S. Honari
Vikas Verma
Alex Lamb
F. Ghadiri
R. Devon Hjelm
Yoshua Bengio
C. Pal
AAML
311
12
0
07 Mar 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders
Hierarchical Autoregressive Image Models with Auxiliary Decoders
J. Fauw
Sander Dieleman
Karen Simonyan
GAN
243
39
0
06 Mar 2019
Learning Latent Plans from Play
Learning Latent Plans from PlayConference on Robot Learning (CoRL), 2019
Corey Lynch
Mohi Khansari
Ted Xiao
Vikash Kumar
Jonathan Tompson
Sergey Levine
P. Sermanet
SSLLM&Ro
220
460
0
05 Mar 2019
Model-Based Reinforcement Learning for Atari
Model-Based Reinforcement Learning for AtariInternational Conference on Learning Representations (ICLR), 2019
Lukasz Kaiser
Mohammad Babaeizadeh
Piotr Milos
B. Osinski
R. Campbell
...
Sergey Levine
Afroz Mohiuddin
Ryan Sepassi
George Tucker
Henryk Michalewski
OffRL
834
942
0
01 Mar 2019
STCN: Stochastic Temporal Convolutional Networks
STCN: Stochastic Temporal Convolutional Networks
Emre Aksan
Otmar Hilliges
BDL
173
67
0
18 Feb 2019
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization
  and Mapping
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping
Punarjay Chakravarty
P. Narayanan
Tom Roussel
3DGSMDE
174
31
0
06 Feb 2019
Uncertainty Quantification in Deep MRI Reconstruction
Uncertainty Quantification in Deep MRI ReconstructionIEEE Transactions on Medical Imaging (TMI), 2019
Vineet Edupuganti
Morteza Mardani
S. Vasanawala
John M. Pauly
UQCV
265
108
0
31 Jan 2019
Disentangling and Learning Robust Representations with Natural
  Clustering
Disentangling and Learning Robust Representations with Natural Clustering
Javier Antorán
A. Miguel
CoGeOODCMLDRL
213
19
0
27 Jan 2019
Unsupervised speech representation learning using WaveNet autoencoders
Unsupervised speech representation learning using WaveNet autoencoders
J. Chorowski
Ron J. Weiss
Samy Bengio
Aaron van den Oord
SSL
251
333
0
25 Jan 2019
Semi-Unsupervised Learning: Clustering and Classifying using
  Ultra-Sparse Labels
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels
M. Willetts
Stephen J. Roberts
Christopher C Holmes
192
5
0
24 Jan 2019
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps
  for Time Series Prediction
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction
Bryan Lim
S. Zohren
Stephen J. Roberts
BDLAI4TS
189
47
0
23 Jan 2019
Classical Music Generation in Distinct Dastgahs with AlimNet ACGAN
Classical Music Generation in Distinct Dastgahs with AlimNet ACGAN
Saber Malekzadeh
Maryam Samami
Shahla Rezazadeh Azar
Maryam Rayegan
GANMGen
108
4
0
15 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
282
180
0
10 Jan 2019
Poincaré Wasserstein Autoencoder
Poincaré Wasserstein Autoencoder
Ivan Ovinnikov
202
18
0
05 Jan 2019
A Factorial Mixture Prior for Compositional Deep Generative Models
A Factorial Mixture Prior for Compositional Deep Generative Models
Ulrich Paquet
Sumedh Ghaisas
O. Tieleman
CoGe
140
1
0
18 Dec 2018
A Tutorial on Deep Latent Variable Models of Natural Language
A Tutorial on Deep Latent Variable Models of Natural Language
Yoon Kim
Sam Wiseman
Alexander M. Rush
BDLVLM
264
45
0
17 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning
Recent Advances in Autoencoder-Based Representation Learning
Michael Tschannen
Olivier Bachem
Mario Lucic
OODSSLDRL
209
483
0
12 Dec 2018
Bayesian Layers: A Module for Neural Network Uncertainty
Bayesian Layers: A Module for Neural Network Uncertainty
Dustin Tran
Michael W. Dusenberry
Mark van der Wilk
Danijar Hafner
UQCVBDL
319
134
0
10 Dec 2018
Coarse-Graining Auto-Encoders for Molecular Dynamics
Coarse-Graining Auto-Encoders for Molecular Dynamics
Wujie Wang
Rafael Gómez-Bombarelli
AI4CE
187
179
0
06 Dec 2018
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