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Pixel Recurrent Neural Networks
v1v2v3 (latest)

Pixel Recurrent Neural Networks

25 January 2016
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
    SSegGAN
ArXiv (abs)PDFHTML

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,388 papers shown
Title
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Aaron van den Oord
Yazhe Li
Igor Babuschkin
Karen Simonyan
Oriol Vinyals
...
Alex Graves
Helen King
T. Walters
Dan Belov
Demis Hassabis
233
859
0
28 Nov 2017
An Improved Training Procedure for Neural Autoregressive Data Completion
An Improved Training Procedure for Neural Autoregressive Data Completion
Maxime Voisin
Daniel E. Ritchie
31
0
0
23 Nov 2017
Building Machines that Learn and Think for Themselves: Commentary on
  Lake et al., Behavioral and Brain Sciences, 2017
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017
M. Botvinick
David Barrett
Peter W. Battaglia
Nando de Freitas
D. Kumaran
...
Greg Wayne
T. Weber
Daan Wierstra
Shane Legg
Demis Hassabis
LRM
94
35
0
22 Nov 2017
Weakly Supervised Object Discovery by Generative Adversarial & Ranking
  Networks
Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks
Ali Diba
Vivek Sharma
Rainer Stiefelhagen
Luc Van Gool
GAN
76
6
0
22 Nov 2017
The Riemannian Geometry of Deep Generative Models
The Riemannian Geometry of Deep Generative Models
Hang Shao
Abhishek Kumar
P. T. Fletcher
DRL
81
183
0
21 Nov 2017
High-resolution Deep Convolutional Generative Adversarial Networks
High-resolution Deep Convolutional Generative Adversarial Networks
J. Curtò
I. Zarza
Fernando de la Torre
Irwin King
Michael R. Lyu
GAN
124
35
0
17 Nov 2017
Shape Inpainting using 3D Generative Adversarial Network and Recurrent
  Convolutional Networks
Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks
Weiyue Wang
Qiangui Huang
Suya You
Chao Yang
Ulrich Neumann
GAN3DPC
91
167
0
17 Nov 2017
How Generative Adversarial Networks and Their Variants Work: An Overview
How Generative Adversarial Networks and Their Variants Work: An Overview
Yongjun Hong
Uiwon Hwang
Jaeyoon Yoo
Sungroh Yoon
GAN
131
159
0
16 Nov 2017
Variational Bi-LSTMs
Variational Bi-LSTMs
Samira Shabanian
Devansh Arpit
Adam Trischler
Yoshua Bengio
DRL
65
26
0
15 Nov 2017
Z-Forcing: Training Stochastic Recurrent Networks
Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal
Alessandro Sordoni
Marc-Alexandre Côté
Nan Rosemary Ke
Yoshua Bengio
BDL
93
186
0
15 Nov 2017
Adversarial Symmetric Variational Autoencoder
Adversarial Symmetric Variational Autoencoder
Yunchen Pu
Weiyao Wang
Ricardo Henao
Liqun Chen
Zhe Gan
Chunyuan Li
Lawrence Carin
DRLGAN
104
78
0
14 Nov 2017
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CEFedMLNAIAILaw
331
887
0
11 Nov 2017
Convolutional Normalizing Flows
Convolutional Normalizing Flows
Guoqing Zheng
Yiming Yang
J. Carbonell
BDL
72
11
0
07 Nov 2017
Fast amortized inference of neural activity from calcium imaging data
  with variational autoencoders
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
Artur Speiser
Jinyao Yan
Evan Archer
Lars Buesing
Srinivas C. Turaga
Jakob H. Macke
BDL
59
47
0
06 Nov 2017
KGAN: How to Break The Minimax Game in GAN
KGAN: How to Break The Minimax Game in GAN
Trung Le
T. Nguyen
Dinh Q. Phung
GAN
50
1
0
06 Nov 2017
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence
  Learning
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning
Zhen He
Shaobing Gao
Liang Xiao
Daxue Liu
Hangen He
David Barber
AIMat
92
65
0
05 Nov 2017
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDLSSLOCL
259
5,093
0
02 Nov 2017
Fixing a Broken ELBO
Fixing a Broken ELBO
Alexander A. Alemi
Ben Poole
Ian S. Fischer
Joshua V. Dillon
Rif A. Saurous
Kevin Patrick Murphy
DRLBDL
112
80
0
01 Nov 2017
PixelDefend: Leveraging Generative Models to Understand and Defend
  against Adversarial Examples
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
Yang Song
Taesup Kim
Sebastian Nowozin
Stefano Ermon
Nate Kushman
AAML
145
791
0
30 Oct 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
230
7,395
0
27 Oct 2017
StackGAN++: Realistic Image Synthesis with Stacked Generative
  Adversarial Networks
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
123
1,064
0
19 Oct 2017
Domain Randomization and Generative Models for Robotic Grasping
Domain Randomization and Generative Models for Robotic Grasping
Joshua Tobin
Lukas Biewald
Rocky Duan
Marcin Andrychowicz
Ankur Handa
...
Bob McGrew
Jonas Schneider
Peter Welinder
Wojciech Zaremba
Pieter Abbeel
OOD
110
175
0
17 Oct 2017
Deep Learning for Case-Based Reasoning through Prototypes: A Neural
  Network that Explains Its Predictions
Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions
Oscar Li
Hao Liu
Chaofan Chen
Cynthia Rudin
213
594
0
13 Oct 2017
Sum-Product-Quotient Networks
Sum-Product-Quotient Networks
Or Sharir
Amnon Shashua
TPM
65
13
0
12 Oct 2017
Learnable Explicit Density for Continuous Latent Space and Variational
  Inference
Learnable Explicit Density for Continuous Latent Space and Variational Inference
Chin-Wei Huang
Ahmed Touati
Laurent Dinh
M. Drozdzal
Mohammad Havaei
Laurent Charlin
Aaron Courville
BDLDRL
94
28
0
06 Oct 2017
Learning Affinity via Spatial Propagation Networks
Learning Affinity via Spatial Propagation Networks
Sifei Liu
Shalini De Mello
Liang Feng
Guangyu Zhong
Ming-Hsuan Yang
Jan Kautz
89
286
0
03 Oct 2017
Learning of Colors from Color Names: Distribution and Point Estimation
Learning of Colors from Color Names: Distribution and Point Estimation
Lyndon White
R. Togneri
Wei Liu
Bennamoun
OOD
52
2
0
27 Sep 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Arun Venkatraman
Nicholas Rhinehart
Wen Sun
Lerrel Pinto
M. Hebert
Byron Boots
Kris Kitani
J. Andrew Bagnell
AI4CE
114
43
0
25 Sep 2017
Unsupervised Learning of Disentangled and Interpretable Representations
  from Sequential Data
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
Wei-Ning Hsu
Yu Zhang
James R. Glass
BDLSSL
94
354
0
22 Sep 2017
Convolutional neural networks that teach microscopes how to image
Convolutional neural networks that teach microscopes how to image
R. Horstmeyer
Richard Y. Chen
Barbara Kappes
B. Judkewitz
130
59
0
21 Sep 2017
Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting
  Neural Networks
Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks
Simon Kallweit
Thomas Müller
Brian McWilliams
Markus Gross
Jan Novák
61
42
0
15 Sep 2017
Symmetric Variational Autoencoder and Connections to Adversarial
  Learning
Symmetric Variational Autoencoder and Connections to Adversarial Learning
Liqun Chen
Shuyang Dai
Yunchen Pu
Chunyuan Li
Weiyao Wang
Lawrence Carin
DRLGAN
116
71
0
06 Sep 2017
Unsupervised Generative Modeling Using Matrix Product States
Unsupervised Generative Modeling Using Matrix Product States
Zhaoyu Han
Jun Wang
H. Fan
Lei Wang
Pan Zhang
144
273
0
06 Sep 2017
Continuous-Time Flows for Efficient Inference and Density Estimation
Continuous-Time Flows for Efficient Inference and Density Estimation
Changyou Chen
Chunyuan Li
Liquan Chen
Wenlin Wang
Yunchen Pu
Lawrence Carin
TPM
129
57
0
04 Sep 2017
Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork
Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork
W. Tan
Chee Seng Chan
H. Aguirre
Kiyoshi Tanaka
GAN
21
2
0
31 Aug 2017
Parametric Adversarial Divergences are Good Losses for Generative
  Modeling
Parametric Adversarial Divergences are Good Losses for Generative Modeling
Gabriel Huang
Hugo Berard
Ahmed Touati
Gauthier Gidel
Pascal Vincent
Simon Lacoste-Julien
GAN
56
1
0
08 Aug 2017
Face Parsing via Recurrent Propagation
Face Parsing via Recurrent Propagation
Sifei Liu
Jianping Shi
Ji Liang
Ming-Hsuan Yang
CVBM
73
44
0
06 Aug 2017
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
Chuhang Zou
Ersin Yumer
Jimei Yang
Duygu Ceylan
Derek Hoiem
3DV
60
209
0
04 Aug 2017
An End-to-End Compression Framework Based on Convolutional Neural
  Networks
An End-to-End Compression Framework Based on Convolutional Neural Networks
F. Jiang
Wen Tao
Shaohui Liu
Jie Ren
Xun Guo
Debin Zhao
3DV
71
203
0
02 Aug 2017
A Downsampled Variant of ImageNet as an Alternative to the CIFAR
  datasets
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
P. Chrabaszcz
I. Loshchilov
Frank Hutter
SSegOOD
191
649
0
27 Jul 2017
A survey of exemplar-based texture synthesis
A survey of exemplar-based texture synthesis
Lara Raad
Axel Davy
A. Desolneux
Jean-Michel Morel
3DV
142
35
0
22 Jul 2017
A Distributional Perspective on Reinforcement Learning
A Distributional Perspective on Reinforcement Learning
Marc G. Bellemare
Will Dabney
Rémi Munos
OffRL
108
1,510
0
21 Jul 2017
Semantic Image Synthesis via Adversarial Learning
Semantic Image Synthesis via Adversarial Learning
Hao Dong
Simiao Yu
Chao Wu
Yike Guo
GAN
77
266
0
21 Jul 2017
Improving Language Modeling using Densely Connected Recurrent Neural
  Networks
Improving Language Modeling using Densely Connected Recurrent Neural Networks
Fréderic Godin
J. Dambre
W. D. Neve
PINN
54
5
0
19 Jul 2017
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using
  End-To-End Learning from Demonstration
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration
Rouhollah Rahmatizadeh
P. Abolghasemi
Ladislau Bölöni
Sergey Levine
132
260
0
10 Jul 2017
Dual Supervised Learning
Dual Supervised Learning
Yingce Xia
Tao Qin
Wei-neng Chen
Jiang Bian
Nenghai Yu
Tie-Yan Liu
SSL
145
143
0
03 Jul 2017
Super-Resolution via Deep Learning
Super-Resolution via Deep Learning
K. Hayat
SupR
91
92
0
28 Jun 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
296
2,278
0
24 Jun 2017
A Wavenet for Speech Denoising
A Wavenet for Speech Denoising
Dario Rethage
Jordi Pons
Xavier Serra
157
432
0
22 Jun 2017
Real-valued (Medical) Time Series Generation with Recurrent Conditional
  GANs
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
Cristóbal Esteban
Stephanie L. Hyland
Gunnar Rätsch
GANSyDaMedIm
125
795
0
08 Jun 2017
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