Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1711.00937
Cited By
v1
v2 (latest)
Neural Discrete Representation Learning
2 November 2017
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Neural Discrete Representation Learning"
50 / 3,267 papers shown
Title
Maximizing Mutual Information for Tacotron
Peng Liu
Xixin Wu
Shiyin Kang
Guangzhi Li
Jane Polak Scowcroft
Dong Yu
86
16
0
30 Aug 2019
Differentiable Product Quantization for End-to-End Embedding Compression
Ting Chen
Lala Li
Yizhou Sun
MQ
55
68
0
26 Aug 2019
On the Convergence of AdaBound and its Connection to SGD
Pedro H. P. Savarese
ODL
54
19
0
13 Aug 2019
Unsupervised Neural Quantization for Compressed-Domain Similarity Search
S. Morozov
Artem Babenko
82
29
0
11 Aug 2019
Likelihood Contribution based Multi-scale Architecture for Generative Flows
Hari Prasanna Das
Pieter Abbeel
C. Spanos
DRL
AI4CE
61
5
0
05 Aug 2019
Non-Parallel Voice Conversion with Cyclic Variational Autoencoder
Patrick Lumban Tobing
Yi-Chiao Wu
Tomoki Hayashi
Kazuhiro Kobayashi
Tomoki Toda
74
68
0
24 Jul 2019
Autoencoding sensory substitution
Viktor Tóth
L. Parkkonen
35
6
0
14 Jul 2019
Vector Quantized Bayesian Neural Network Inference for Data Streams
Namuk Park
Taekyu Lee
Songkuk Kim
MQ
62
10
0
12 Jul 2019
M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention
Shuang Ma
Daniel J. McDuff
Yale Song
47
4
0
09 Jul 2019
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
145
545
0
04 Jul 2019
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
80
14
0
02 Jul 2019
Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation
Marius Arvinte
S. Vishwanath
Ahmed H. Tewfik
MQ
22
6
0
18 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Yiding Jiang
S. Gu
Kevin Patrick Murphy
Chelsea Finn
OffRL
69
225
0
18 Jun 2019
Using generative modelling to produce varied intonation for speech synthesis
Zack Hodari
O. Watts
Simon King
67
29
0
10 Jun 2019
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching
Jihun Choi
Taeuk Kim
Sang-goo Lee
BDL
77
6
0
04 Jun 2019
MelNet: A Generative Model for Audio in the Frequency Domain
Sean Vasquez
M. Lewis
DiffM
93
132
0
04 Jun 2019
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion
Joan Serrà
Santiago Pascual
Carlos Segura
CVBM
76
85
0
03 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi
Aaron van den Oord
Oriol Vinyals
DRL
BDL
234
1,834
0
02 Jun 2019
Entropy Minimization In Emergent Languages
Eugene Kharitonov
Rahma Chaabouni
Diane Bouchacourt
Marco Baroni
101
3
0
31 May 2019
Unsupervised Paraphrasing without Translation
Aurko Roy
David Grangier
BDL
LRM
124
61
0
29 May 2019
Discrete Infomax Codes for Supervised Representation Learning
Yoonho Lee
Wonjae Kim
Wonpyo Park
Seungjin Choi
64
4
0
28 May 2019
Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion
Andy T. Liu
Po-Chun Hsu
Hung-yi Lee
SSL
84
30
0
28 May 2019
VQVAE Unsupervised Unit Discovery and Multi-scale Code2Spec Inverter for Zerospeech Challenge 2019
Andros Tjandra
Berrak Sisman
Mingyang Zhang
S. Sakti
Haizhou Li
Satoshi Nakamura
96
72
0
27 May 2019
Quantization-Based Regularization for Autoencoders
Hanwei Wu
M. Flierl
DRL
54
2
0
27 May 2019
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
Yeonwoo Jeong
Hyun Oh Song
53
49
0
23 May 2019
Non-Autoregressive Neural Text-to-Speech
Kainan Peng
Ming-Yu Liu
Z. Song
Kexin Zhao
101
40
0
21 May 2019
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces
Bryan Seybold
Emily Fertig
Alexander A. Alemi
Ian S. Fischer
DRL
94
4
0
17 May 2019
MoGlow: Probabilistic and controllable motion synthesis using normalising flows
G. Henter
Simon Alexanderson
Jonas Beskow
94
98
0
16 May 2019
Towards Interlingua Neural Machine Translation
Carlos Escolano
Marta R. Costa-jussá
José A. R. Fonollosa
CLL
AI4CE
45
21
0
15 May 2019
Improving Discrete Latent Representations With Differentiable Approximation Bridges
Jason Ramapuram
Russ Webb
DRL
40
9
0
09 May 2019
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
Mingzhang Yin
Yuguang Yue
Mingyuan Zhou
66
23
0
04 May 2019
Incorporating Symbolic Sequential Modeling for Speech Enhancement
Chien-Feng Liao
Yu Tsao
Xugang Lu
Hisashi Kawai
58
18
0
30 Apr 2019
Deep Neuroevolution of Recurrent and Discrete World Models
S. Risi
Kenneth O. Stanley
OCL
133
53
0
28 Apr 2019
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
105
117
0
25 Apr 2019
TTS Skins: Speaker Conversion via ASR
Adam Polyak
Lior Wolf
Yaniv Taigman
76
28
0
18 Apr 2019
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
79
57
0
16 Apr 2019
Unsupervised Singing Voice Conversion
Eliya Nachmani
Lior Wolf
85
56
0
13 Apr 2019
Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks
Santiago Pascual
Mirco Ravanelli
Joan Serrà
Antonio Bonafonte
Yoshua Bengio
SSL
131
251
0
06 Apr 2019
A Learned Representation for Scalable Vector Graphics
Raphael Gontijo-Lopes
David R Ha
Douglas Eck
Jonathon Shlens
GAN
OCL
76
118
0
04 Apr 2019
From Variational to Deterministic Autoencoders
Partha Ghosh
Mehdi S. M. Sajjadi
Antonio Vergari
Michael J. Black
Bernhard Schölkopf
DRL
104
272
0
29 Mar 2019
High Fidelity Face Manipulation with Extreme Poses and Expressions
Chaoyou Fu
Yibo Hu
Xiang Wu
Guoli Wang
Qian Zhang
Ran He
CVBM
99
25
0
28 Mar 2019
Information Maximizing Visual Question Generation
Ranjay Krishna
Michael S. Bernstein
Li Fei-Fei
131
95
0
27 Mar 2019
A RAD approach to deep mixture models
Laurent Dinh
Jascha Narain Sohl-Dickstein
Hugo Larochelle
Razvan Pascanu
100
46
0
18 Mar 2019
Deep Switch Networks for Generating Discrete Data and Language
Payam Delgosha
Naveen Goela
23
0
0
14 Mar 2019
Diagnosing and Enhancing VAE Models
Bin Dai
David Wipf
DRL
115
381
0
14 Mar 2019
On Adversarial Mixup Resynthesis
Christopher Beckham
S. Honari
Vikas Verma
Alex Lamb
F. Ghadiri
R. Devon Hjelm
Yoshua Bengio
C. Pal
AAML
68
12
0
07 Mar 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders
J. Fauw
Sander Dieleman
Karen Simonyan
GAN
100
37
0
06 Mar 2019
Learning Latent Plans from Play
Corey Lynch
Mohi Khansari
Ted Xiao
Vikash Kumar
Jonathan Tompson
Sergey Levine
P. Sermanet
SSL
LM&Ro
122
408
0
05 Mar 2019
Model-Based Reinforcement Learning for Atari
Lukasz Kaiser
Mohammad Babaeizadeh
Piotr Milos
B. Osinski
R. Campbell
...
Sergey Levine
Afroz Mohiuddin
Ryan Sepassi
George Tucker
Henryk Michalewski
OffRL
280
871
0
01 Mar 2019
STCN: Stochastic Temporal Convolutional Networks
Emre Aksan
Otmar Hilliges
BDL
59
62
0
18 Feb 2019
Previous
1
2
3
...
63
64
65
66
Next