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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 / 3,788 papers shown
Title
On Distributed Quantization for Classification
On Distributed Quantization for ClassificationIEEE Journal on Selected Areas in Information Theory (JSAIT), 2019
Osama A. Hanna
Yahya H. Ezzeldin
Tara Sadjadpour
Christina Fragouli
Suhas Diggavi
MQ
222
14
0
01 Nov 2019
Inverse Graphics: Unsupervised Learning of 3D Shapes from Single Images
Inverse Graphics: Unsupervised Learning of 3D Shapes from Single Images
Talip Uçar
98
0
0
31 Oct 2019
Bridging the ELBO and MMD
Bridging the ELBO and MMD
Talip Uçar
DRL
65
4
0
29 Oct 2019
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for
  Generative Models
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative ModelsNeural Information Processing Systems (NeurIPS), 2019
Maksim Kuznetsov
Daniil Polykovskiy
Dmitry Vetrov
Alexander Zhebrak
GAN
78
19
0
29 Oct 2019
Towards Unsupervised Speech Recognition and Synthesis with Quantized
  Speech Representation Learning
Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Alexander H. Liu
Tao Tu
Hung-yi Lee
Lin-Shan Lee
SSL
215
51
0
28 Oct 2019
Supervised Encoding for Discrete Representation Learning
Supervised Encoding for Discrete Representation LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Cat P. Le
Yi Zhou
Jie Ding
Vahid Tarokh
SSL
101
4
0
15 Oct 2019
Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decoder
Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet DecoderIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Cristina Garbacea
Aaron van den Oord
Yazhe Li
Felicia S. C. Lim
Alejandro Luebs
Oriol Vinyals
Thomas C. Walters
153
137
0
14 Oct 2019
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
vq-wav2vec: Self-Supervised Learning of Discrete Speech RepresentationsInternational Conference on Learning Representations (ICLR), 2019
Alexei Baevski
Steffen Schneider
Michael Auli
SSL
524
710
0
12 Oct 2019
Rate-Distortion Optimization Guided Autoencoder for Isometric Embedding
  in Euclidean Latent Space
Rate-Distortion Optimization Guided Autoencoder for Isometric Embedding in Euclidean Latent Space
Keizo Kato
Jing Zhou
Tomotake Sasaki
Akira Nakagawa
DRL
134
1
0
10 Oct 2019
MelGAN: Generative Adversarial Networks for Conditional Waveform
  Synthesis
MelGAN: Generative Adversarial Networks for Conditional Waveform SynthesisNeural Information Processing Systems (NeurIPS), 2019
Kundan Kumar
Rithesh Kumar
T. Boissière
L. Gestin
Wei Zhen Teoh
Jose M. R. Sotelo
A. D. Brébisson
Yoshua Bengio
Aaron Courville
GAN
396
1,069
0
08 Oct 2019
MIM: Mutual Information Machine
MIM: Mutual Information Machine
M. Livne
Kevin Swersky
David J. Fleet
DRL
189
8
0
08 Oct 2019
Irregular Convolutional Auto-Encoder on Point Clouds
Irregular Convolutional Auto-Encoder on Point Clouds
Yuhui Zhang
G. Gutmann
Konagaya Akihiko
3DPC
79
2
0
07 Oct 2019
High Mutual Information in Representation Learning with Symmetric
  Variational Inference
High Mutual Information in Representation Learning with Symmetric Variational Inference
M. Livne
Kevin Swersky
David J. Fleet
SSLDRL
102
0
0
04 Oct 2019
DPSOM: Deep Probabilistic Clustering with Self-Organizing Maps
DPSOM: Deep Probabilistic Clustering with Self-Organizing Maps
Laura Manduchi
Matthias Huser
Julia E. Vogt
Gunnar Rätsch
Vincent Fortuin
AI4TS
111
2
0
03 Oct 2019
Speech-to-speech Translation between Untranscribed Unknown Languages
Speech-to-speech Translation between Untranscribed Unknown LanguagesAutomatic Speech Recognition & Understanding (ASRU), 2019
Andros Tjandra
S. Sakti
Satoshi Nakamura
112
53
0
02 Oct 2019
GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided
  Attention
GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention
Ashish Sinha
Yohei Sugawara
Y. Hirano
96
4
0
27 Sep 2019
Supervised Vector Quantized Variational Autoencoder for Learning
  Interpretable Global Representations
Supervised Vector Quantized Variational Autoencoder for Learning Interpretable Global Representations
Yifan Xue
Michael Q. Ding
Xinghua Lu
DRLSSL
83
4
0
24 Sep 2019
CMTS: Conditional Multiple Trajectory Synthesizer for Generating
  Safety-critical Driving Scenarios
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios
Wenhao Ding
Mengdi Xu
Ding Zhao
154
61
0
17 Sep 2019
Many-to-Many Voice Conversion using Cycle-Consistent Variational
  Autoencoder with Multiple Decoders
Many-to-Many Voice Conversion using Cycle-Consistent Variational Autoencoder with Multiple DecodersThe Speaker and Language Recognition Workshop (Odyssey), 2019
Keonnyeong Lee
In-Chul Yoo
Dongsuk Yook
DRL
191
15
0
15 Sep 2019
Select and Attend: Towards Controllable Content Selection in Text
  Generation
Select and Attend: Towards Controllable Content Selection in Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Xiaoyu Shen
Jun Suzuki
Kentaro Inui
Hui Su
Dietrich Klakow
Satoshi Sekine
124
29
0
10 Sep 2019
Unsupervised Paraphrasing by Simulated Annealing
Unsupervised Paraphrasing by Simulated AnnealingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Xianggen Liu
Lili Mou
Fandong Meng
Hao Zhou
Jie Zhou
Sen Song
203
78
0
09 Sep 2019
Maximizing Mutual Information for Tacotron
Maximizing Mutual Information for Tacotron
Peng Liu
Xixin Wu
Shiyin Kang
Guangzhi Li
Jane Polak Scowcroft
Dong Yu
193
16
0
30 Aug 2019
Differentiable Product Quantization for End-to-End Embedding Compression
Differentiable Product Quantization for End-to-End Embedding CompressionInternational Conference on Machine Learning (ICML), 2019
Ting Chen
Lala Li
Luke Huan
MQ
178
75
0
26 Aug 2019
On the Convergence of AdaBound and its Connection to SGD
On the Convergence of AdaBound and its Connection to SGD
Pedro H. P. Savarese
ODL
108
22
0
13 Aug 2019
Unsupervised Neural Quantization for Compressed-Domain Similarity Search
Unsupervised Neural Quantization for Compressed-Domain Similarity SearchIEEE International Conference on Computer Vision (ICCV), 2019
S. Morozov
Artem Babenko
147
31
0
11 Aug 2019
Likelihood Contribution based Multi-scale Architecture for Generative
  Flows
Likelihood Contribution based Multi-scale Architecture for Generative Flows
Hari Prasanna Das
Pieter Abbeel
C. Spanos
DRLAI4CE
144
5
0
05 Aug 2019
Non-Parallel Voice Conversion with Cyclic Variational Autoencoder
Non-Parallel Voice Conversion with Cyclic Variational AutoencoderInterspeech (Interspeech), 2019
Patrick Lumban Tobing
Yi-Chiao Wu
Tomoki Hayashi
Kazuhiro Kobayashi
Tomoki Toda
142
71
0
24 Jul 2019
Autoencoding sensory substitution
Autoencoding sensory substitution
Viktor Tóth
L. Parkkonen
71
7
0
14 Jul 2019
Vector Quantized Bayesian Neural Network Inference for Data Streams
Vector Quantized Bayesian Neural Network Inference for Data StreamsAAAI Conference on Artificial Intelligence (AAAI), 2019
Namuk Park
Taekyu Lee
Songkuk Kim
MQ
159
11
0
12 Jul 2019
M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention
M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention
Shuang Ma
Daniel J. McDuff
Yale Song
137
4
0
09 Jul 2019
Large Scale Adversarial Representation Learning
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
317
564
0
04 Jul 2019
A Tandem Learning Rule for Effective Training and Rapid Inference of
  Deep Spiking Neural Networks
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks
Jibin Wu
Yansong Chua
Malu Zhang
Guoqi Li
Haizhou Li
Kay Chen Tan
145
14
0
02 Jul 2019
Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation
Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation
Marius Arvinte
S. Vishwanath
Ahmed H. Tewfik
MQ
78
6
0
18 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Language as an Abstraction for Hierarchical Deep Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2019
Yiding Jiang
S. Gu
Kevin Patrick Murphy
Chelsea Finn
OffRL
235
237
0
18 Jun 2019
Using generative modelling to produce varied intonation for speech
  synthesis
Using generative modelling to produce varied intonation for speech synthesisSpeech Synthesis Workshop (SSW), 2019
Zack Hodari
O. Watts
Simon King
137
29
0
10 Jun 2019
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
143
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
150
138
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
172
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
551
2,109
0
02 Jun 2019
Entropy Minimization In Emergent Languages
Entropy Minimization In Emergent Languages
Eugene Kharitonov
Rahma Chaabouni
Diane Bouchacourt
Marco Baroni
203
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
174
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
216
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
145
75
0
27 May 2019
Quantization-Based Regularization for Autoencoders
Quantization-Based Regularization for Autoencoders
Hanwei Wu
M. Flierl
DRL
149
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
93
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
203
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
153
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
270
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
109
24
0
15 May 2019
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