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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 / 3,267 papers shown
Title
Variational Autoencoders with Riemannian Brownian Motion Priors
Variational Autoencoders with Riemannian Brownian Motion Priors
Dimitris Kalatzis
David Eklund
Georgios Arvanitidis
Søren Hauberg
BDLDRL
135
49
0
12 Feb 2020
Content Based Singing Voice Extraction From a Musical Mixture
Content Based Singing Voice Extraction From a Musical Mixture
Pritish Chandna
Merlijn Blaauw
J. Bonada
E. Gómez
89
14
0
12 Feb 2020
HRINet: Alternative Supervision Network for High-resolution CT image
  Interpolation
HRINet: Alternative Supervision Network for High-resolution CT image Interpolation
Jiawei Li
Jae Chul Koh
Won-sook Lee
MedIm
23
8
0
11 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering
  Skills
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
Victor Campos
Alexander R. Trott
Caiming Xiong
R. Socher
Xavier Giró-i-Nieto
Jordi Torres
OffRL
112
156
0
10 Feb 2020
Multimodal Controller for Generative Models
Multimodal Controller for Generative Models
Enmao Diao
Jie Ding
Vahid Tarokh
79
3
0
07 Feb 2020
Generating diverse and natural text-to-speech samples using a quantized
  fine-grained VAE and auto-regressive prosody prior
Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior
Guangzhi Sun
Yu Zhang
Ron J. Weiss
Yuan Cao
Heiga Zen
Andrew Rosenberg
Bhuvana Ramabhadran
Yonghui Wu
DiffM
106
93
0
06 Feb 2020
Unsupervised Program Synthesis for Images By Sampling Without
  Replacement
Unsupervised Program Synthesis for Images By Sampling Without Replacement
Chenghui Zhou
Chun-Liang Li
Barnabás Póczós
76
1
0
27 Jan 2020
Semi-supervised Grasp Detection by Representation Learning in a Vector
  Quantized Latent Space
Semi-supervised Grasp Detection by Representation Learning in a Vector Quantized Latent Space
Mridul Mahajan
Tryambak Bhattacharjee
Arya Krishnan
Priya Shukla
G. C. Nandi
DRLSSL
41
3
0
23 Jan 2020
Target-Embedding Autoencoders for Supervised Representation Learning
Target-Embedding Autoencoders for Supervised Representation Learning
Daniel Jarrett
M. Schaar
OOD
58
15
0
23 Jan 2020
Unsupervised Audiovisual Synthesis via Exemplar Autoencoders
Unsupervised Audiovisual Synthesis via Exemplar Autoencoders
Kangle Deng
Aayush Bansal
Deva Ramanan
SSLVGen
74
12
0
13 Jan 2020
AE-OT-GAN: Training GANs from data specific latent distribution
AE-OT-GAN: Training GANs from data specific latent distribution
Dongsheng An
Yang Guo
Min Zhang
Xin Qi
Na Lei
S. Yau
X. Gu
DRLGAN
89
24
0
11 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
100
82
0
02 Jan 2020
Deep Automodulators
Deep Automodulators
Ari Heljakka
Wenshuai Zhao
Arno Solin
Arno Solin
129
5
0
21 Dec 2019
Learning Representations by Maximizing Mutual Information in Variational
  Autoencoders
Learning Representations by Maximizing Mutual Information in Variational Autoencoders
Ali Lotfi-Rezaabad
S. Vishwanath
DRLSSL
54
40
0
21 Dec 2019
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse
  Rewards
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards
Xingyu Lu
Stas Tiomkin
Pieter Abbeel
OffRL
74
5
0
21 Dec 2019
MALA: Cross-Domain Dialogue Generation with Action Learning
MALA: Cross-Domain Dialogue Generation with Action Learning
Xinting Huang
Jianzhong Qi
Yu Sun
Rui Zhang
LRM
159
18
0
18 Dec 2019
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application
  for Probabilistic Occupancy Map Forecasting
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting
Geunseob Oh
Jean-Sebastien Valois
BDL
74
12
0
17 Dec 2019
Neural-Symbolic Descriptive Action Model from Images: The Search for
  STRIPS
Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS
Masataro Asai
69
4
0
11 Dec 2019
MaskAAE: Latent space optimization for Adversarial Auto-Encoders
MaskAAE: Latent space optimization for Adversarial Auto-Encoders
A. Mondal
Sankalan Pal Chowdhury
Aravind Jayendran
Parag Singla
Himanshu Asnani
P. PrathoshA.
GANDRL
24
0
0
10 Dec 2019
No Representation without Transformation
No Representation without Transformation
Giorgio Giannone
Saeed Saremi
Jonathan Masci
Christian Osendorfer
BDLDRL
47
2
0
09 Dec 2019
Novelty Detection Via Blurring
Novelty Detection Via Blurring
Sung-Ik Choi
Sae-Young Chung
UQCV
73
36
0
27 Nov 2019
Noise Robust Generative Adversarial Networks
Noise Robust Generative Adversarial Networks
Takuhiro Kaneko
Tatsuya Harada
NoLaOOD
118
31
0
26 Nov 2019
dpVAEs: Fixing Sample Generation for Regularized VAEs
dpVAEs: Fixing Sample Generation for Regularized VAEs
Riddhish Bhalodia
Iain Lee
Shireen Y. Elhabian
DRL
126
10
0
24 Nov 2019
Learning Hierarchical Discrete Linguistic Units from Visually-Grounded
  Speech
Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech
David Harwath
Wei-Ning Hsu
James R. Glass
104
85
0
21 Nov 2019
Online Learned Continual Compression with Adaptive Quantization Modules
Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Joelle Pineau
92
5
0
19 Nov 2019
Faster AutoAugment: Learning Augmentation Strategies using
  Backpropagation
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation
Ryuichiro Hataya
Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
82
208
0
16 Nov 2019
Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative
  Models is Sensitive to Prior Distribution Choice
Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice
Ryo Kamoi
Kei Kobayashi
69
2
0
15 Nov 2019
Feedback Recurrent AutoEncoder
Feedback Recurrent AutoEncoder
Yang Yang
Guillaume Sautière
J. Jon Ryu
Taco S. Cohen
110
21
0
11 Nov 2019
Effectiveness of self-supervised pre-training for speech recognition
Effectiveness of self-supervised pre-training for speech recognition
Alexei Baevski
Michael Auli
Abdel-rahman Mohamed
SSL
126
147
0
10 Nov 2019
On Distributed Quantization for Classification
On Distributed Quantization for Classification
Osama A. Hanna
Yahya H. Ezzeldin
Tara Sadjadpour
Christina Fragouli
Suhas Diggavi
MQ
83
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
50
0
0
31 Oct 2019
Bridging the ELBO and MMD
Bridging the ELBO and MMD
Talip Uçar
DRL
24
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 Models
Maksim Kuznetsov
Daniil Polykovskiy
Dmitry Vetrov
Alexander Zhebrak
GAN
45
18
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 Learning
Alexander H. Liu
Tao Tu
Hung-yi Lee
Lin-Shan Lee
SSL
112
50
0
28 Oct 2019
Supervised Encoding for Discrete Representation Learning
Supervised Encoding for Discrete Representation Learning
Cat P. Le
Yi Zhou
Jie Ding
Vahid Tarokh
SSL
20
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 Decoder
Cristina Garbacea
Aaron van den Oord
Yazhe Li
Felicia S. C. Lim
Alejandro Luebs
Oriol Vinyals
Thomas C. Walters
87
121
0
14 Oct 2019
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
Alexei Baevski
Steffen Schneider
Michael Auli
SSL
192
669
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
37
0
0
10 Oct 2019
MelGAN: Generative Adversarial Networks for Conditional Waveform
  Synthesis
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar
Rithesh Kumar
T. Boissière
L. Gestin
Wei Zhen Teoh
Jose M. R. Sotelo
A. D. Brébisson
Yoshua Bengio
Aaron Courville
GAN
193
962
0
08 Oct 2019
MIM: Mutual Information Machine
MIM: Mutual Information Machine
M. Livne
Kevin Swersky
David J. Fleet
DRL
55
6
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
37
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
65
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
25
2
0
03 Oct 2019
Speech-to-speech Translation between Untranscribed Unknown Languages
Speech-to-speech Translation between Untranscribed Unknown Languages
Andros Tjandra
S. Sakti
Satoshi Nakamura
71
49
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
29
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
22
3
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
93
54
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 Decoders
Keonnyeong Lee
In-Chul Yoo
Dongsuk Yook
DRL
77
14
0
15 Sep 2019
Select and Attend: Towards Controllable Content Selection in Text
  Generation
Select and Attend: Towards Controllable Content Selection in Text Generation
Xiaoyu Shen
Jun Suzuki
Kentaro Inui
Hui Su
Dietrich Klakow
Satoshi Sekine
76
29
0
10 Sep 2019
Unsupervised Paraphrasing by Simulated Annealing
Unsupervised Paraphrasing by Simulated Annealing
Xianggen Liu
Lili Mou
Fandong Meng
Hao Zhou
Jie Zhou
Sen Song
134
77
0
09 Sep 2019
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