Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
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 / 3,803 papers shown
Adversarial Feature Learning and Unsupervised Clustering based Speech Synthesis for Found Data with Acoustic and Textual Noise
IEEE Signal Processing Letters (IEEE SPL), 2020
Shan Yang
Yuxuan Wang
Lei Xie
130
10
0
28 Apr 2020
Learning Interpretable and Discrete Representations with Adversarial Training for Unsupervised Text Classification
Yau-Shian Wang
Hung-yi Lee
Yun-Nung Chen
139
0
0
28 Apr 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Qile Zhu
Jianlin Su
Wei Bi
Xiaojiang Liu
Xiyao Ma
Xiaolin Li
D. Wu
BDL
DRL
145
64
0
27 Apr 2020
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
Ruchit Rawal
Prabhu Pradhan
84
2
0
26 Apr 2020
Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck
Yang Zhao
Ping Yu
Suchismit Mahapatra
Qinliang Su
Changyou Chen
DRL
193
2
0
22 Apr 2020
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation
Gaëtan Hadjeres
Léopold Crestel
195
19
0
21 Apr 2020
Discrete Variational Attention Models for Language Generation
Xianghong Fang
Haoli Bai
Zenglin Xu
Michael Lyu
Irwin King
DRL
207
0
0
21 Apr 2020
Variational Policy Propagation for Multi-agent Reinforcement Learning
Chao Qu
Hui Li
Chang-rui Liu
Junwu Xiong
James Y. Zhang
Wei Chu
Weiqiang Wang
Yuan Qi
L. Song
247
0
0
19 Apr 2020
Depthwise Discrete Representation Learning
Iordanis Fostiropoulos
BDL
100
0
0
11 Apr 2020
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
International Conference on Machine Learning (ICML), 2020
K. Stratos
Sam Wiseman
SSL
DRL
116
8
0
08 Apr 2020
Feature Quantization Improves GAN Training
International Conference on Machine Learning (ICML), 2020
Yang Zhao
Chunyuan Li
Ping Yu
Jianfeng Gao
Changyou Chen
MQ
171
49
0
05 Apr 2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
AAAI Conference on Artificial Intelligence (AAAI), 2020
Yuxuan Song
Minkai Xu
Lantao Yu
Hao Zhou
Shuo Shao
Yong Yu
AAML
152
17
0
03 Apr 2020
Neural Communication Systems with Bandwidth-limited Channel
Karen Ullrich
Fabio Viola
Danilo Jimenez Rezende
195
1
0
30 Mar 2020
A Short Note on Analyzing Sequence Complexity in Trajectory Prediction Benchmarks
Ronny Hug
S. Becker
Wolfgang Hubner
Michael Arens
109
4
0
27 Mar 2020
Hybrid Classification and Reasoning for Image-based Constraint Solving
Integration of AI and OR Techniques in Constraint Programming (CPAIOR), 2020
Maxime Mulamba
Jayanta Mandi
Rocsildes Canoy
Tias Guns
227
11
0
24 Mar 2020
Leveraging Frequency Analysis for Deep Fake Image Recognition
International Conference on Machine Learning (ICML), 2020
Joel Frank
Thorsten Eisenhofer
Lea Schonherr
Asja Fischer
D. Kolossa
Thorsten Holz
495
735
0
19 Mar 2020
Blur, Noise, and Compression Robust Generative Adversarial Networks
Computer Vision and Pattern Recognition (CVPR), 2020
Takuhiro Kaneko
Tatsuya Harada
184
18
0
17 Mar 2020
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders
Symposium on Advances in Approximate Bayesian Inference (AABI), 2020
Yaniv Yacoby
Weiwei Pan
Finale Doshi-Velez
DRL
142
4
0
17 Mar 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network
International Conference on Machine Learning (ICML), 2020
Joost R. van Amersfoort
Lewis Smith
Yee Whye Teh
Y. Gal
UQCV
BDL
272
55
0
04 Mar 2020
Variational Auto-Encoder: not all failures are equal
Michele Sebag
Victor Berger
Michèle Sebag
DRL
113
6
0
04 Mar 2020
Learning to Hash with Graph Neural Networks for Recommender Systems
The Web Conference (WWW), 2020
Qiaoyu Tan
Ninghao Liu
Xing Zhao
Hongxia Yang
Jingren Zhou
Helen Zhou
245
105
0
04 Mar 2020
VQ-DRAW: A Sequential Discrete VAE
Alex Nichol
BDL
110
3
0
03 Mar 2020
Learning Representations by Predicting Bags of Visual Words
Computer Vision and Pattern Recognition (CVPR), 2020
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
313
124
0
27 Feb 2020
Max-Affine Spline Insights into Deep Generative Networks
Randall Balestriero
Sébastien Paris
Richard Baraniuk
DRL
AI4CE
137
15
0
26 Feb 2020
Predictive Sampling with Forecasting Autoregressive Models
International Conference on Machine Learning (ICML), 2020
Auke Wiggers
Emiel Hoogeboom
BDL
182
17
0
23 Feb 2020
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning
Devansh Arpit
Huan Wang
Caiming Xiong
R. Socher
Yoshua Bengio
SSL
102
2
0
20 Feb 2020
Regularized Autoencoders via Relaxed Injective Probability Flow
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Abhishek Kumar
Ben Poole
Kevin Patrick Murphy
BDL
TPM
DRL
178
42
0
20 Feb 2020
Disentangled Speech Embeddings using Cross-modal Self-supervision
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Arsha Nagrani
Joon Son Chung
Samuel Albanie
Andrew Zisserman
SSL
188
95
0
20 Feb 2020
Hierarchical Quantized Autoencoders
Neural Information Processing Systems (NeurIPS), 2020
Will Williams
Sam Ringer
T. Ash
John Hughes
D. Macleod
Jamie Dougherty
BDL
DRL
409
77
0
19 Feb 2020
Source Separation with Deep Generative Priors
International Conference on Machine Learning (ICML), 2020
V. Jayaram
John Thickstun
262
42
0
19 Feb 2020
SentenceMIM: A Latent Variable Language Model
M. Livne
Kevin Swersky
David J. Fleet
VLM
232
7
0
18 Feb 2020
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings
International Conference on Learning Representations (ICLR), 2020
Shweta Mahajan
Iryna Gurevych
Stefan Roth
DRL
164
38
0
16 Feb 2020
Many-to-Many Voice Conversion using Conditional Cycle-Consistent Adversarial Networks
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Shindong Lee
Bonggu Ko
Keonnyeong Lee
In-Chul Yoo
Dongsuk Yook
GAN
118
36
0
15 Feb 2020
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE
Petru-Daniel Tudosiu
Thomas Varsavsky
Richard Shaw
M. Graham
P. Nachev
Sebastien Ourselin
Carole H. Sudre
M. Jorge Cardoso
MedIm
144
20
0
13 Feb 2020
Efficient And Scalable Neural Residual Waveform Coding With Collaborative Quantization
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Kai Zhen
Mi Suk Lee
Jongmo Sung
Seungkwon Beack
Minje Kim
182
21
0
13 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
ACM Computing Surveys (ACM CSUR), 2020
T. H. Le
Hao Chen
Muhammad Ali Babar
VLM
250
171
0
13 Feb 2020
Variational Autoencoders with Riemannian Brownian Motion Priors
International Conference on Machine Learning (ICML), 2020
Dimitris Kalatzis
David Eklund
Georgios Arvanitidis
Søren Hauberg
BDL
DRL
334
54
0
12 Feb 2020
Content Based Singing Voice Extraction From a Musical Mixture
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Pritish Chandna
Merlijn Blaauw
J. Bonada
E. Gómez
204
16
0
12 Feb 2020
HRINet: Alternative Supervision Network for High-resolution CT image Interpolation
International Conference on Information Photonics (ICIP), 2020
Jiawei Li
Jae Chul Koh
Won-sook Lee
MedIm
104
8
0
11 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
International Conference on Machine Learning (ICML), 2020
Victor Campos
Alexander R. Trott
Caiming Xiong
R. Socher
Xavier Giró-i-Nieto
Jordi Torres
OffRL
480
167
0
10 Feb 2020
Multimodal Controller for Generative Models
Enmao Diao
Jie Ding
Vahid Tarokh
281
3
0
07 Feb 2020
Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Guangzhi Sun
Yu Zhang
Ron J. Weiss
Yuan Cao
Heiga Zen
Andrew Rosenberg
Bhuvana Ramabhadran
Yonghui Wu
DiffM
200
95
0
06 Feb 2020
Unsupervised Program Synthesis for Images By Sampling Without Replacement
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Chenghui Zhou
Chun-Liang Li
Barnabás Póczós
171
1
0
27 Jan 2020
Semi-supervised Grasp Detection by Representation Learning in a Vector Quantized Latent Space
Mridul Mahajan
Tryambak Bhattacharjee
Arya Krishnan
Priya Shukla
G. C. Nandi
DRL
SSL
199
3
0
23 Jan 2020
Target-Embedding Autoencoders for Supervised Representation Learning
International Conference on Learning Representations (ICLR), 2020
Daniel Jarrett
M. Schaar
OOD
172
17
0
23 Jan 2020
Unsupervised Audiovisual Synthesis via Exemplar Autoencoders
International Conference on Learning Representations (ICLR), 2020
Kangle Deng
Aayush Bansal
Deva Ramanan
SSL
VGen
163
17
0
13 Jan 2020
AE-OT-GAN: Training GANs from data specific latent distribution
European Conference on Computer Vision (ECCV), 2020
Dongsheng An
Yang Guo
Min Zhang
Xin Qi
Na Lei
S. Yau
X. Gu
DRL
GAN
226
25
0
11 Jan 2020
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
346
88
0
02 Jan 2020
Deep Automodulators
Neural Information Processing Systems (NeurIPS), 2019
Ari Heljakka
Wenshuai Zhao
Arno Solin
Arno Solin
290
5
0
21 Dec 2019
Learning Representations by Maximizing Mutual Information in Variational Autoencoders
International Symposium on Information Theory (ISIT), 2019
Ali Lotfi-Rezaabad
S. Vishwanath
DRL
SSL
144
43
0
21 Dec 2019
Previous
1
2
3
...
72
73
74
75
76
77
Next
