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DRAW: A Recurrent Neural Network For Image Generation

DRAW: A Recurrent Neural Network For Image Generation

16 February 2015
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
    GAN
    DRL
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Papers citing "DRAW: A Recurrent Neural Network For Image Generation"

50 / 377 papers shown
Title
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
61
10,327
0
21 Jul 2016
Hierarchical Attention Network for Action Recognition in Videos
Hierarchical Attention Network for Action Recognition in Videos
Yilin Wang
Suhang Wang
Jiliang Tang
Neil O'Hare
Yi-Ju Chang
Baoxin Li
BDL
30
82
0
21 Jul 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross
  Convolutional Networks
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Tianfan Xue
Jiajun Wu
Katherine Bouman
Bill Freeman
43
416
0
09 Jul 2016
Unsupervised Learning of 3D Structure from Images
Unsupervised Learning of 3D Structure from Images
Danilo Jimenez Rezende
S. M. Ali Eslami
S. Mohamed
Peter W. Battaglia
Max Jaderberg
N. Heess
3DV
SSL
DRL
17
395
0
03 Jul 2016
An Uncertain Future: Forecasting from Static Images using Variational
  Autoencoders
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders
Jacob Walker
Carl Doersch
Abhinav Gupta
M. Hebert
VGen
15
512
0
25 Jun 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming Liu
Oncel Tuzel
OOD
GAN
40
1,622
0
24 Jun 2016
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
Xu-Yao Zhang
Fei Yin
Yanming Zhang
Cheng-Lin Liu
Yoshua Bengio
50
320
0
21 Jun 2016
Tutorial on Variational Autoencoders
Tutorial on Variational Autoencoders
Carl Doersch
BDL
DRL
50
1,723
0
19 Jun 2016
Inverting face embeddings with convolutional neural networks
Inverting face embeddings with convolutional neural networks
A. Zhmoginov
Mark Sandler
3DH
CVBM
17
67
0
14 Jun 2016
Memory-Efficient Backpropagation Through Time
Memory-Efficient Backpropagation Through Time
A. Gruslys
Rémi Munos
Ivo Danihelka
Marc Lanctot
Alex Graves
35
228
0
10 Jun 2016
Progressive Attention Networks for Visual Attribute Prediction
Progressive Attention Networks for Visual Attribute Prediction
Paul Hongsuck Seo
Zhe-nan Lin
Scott D. Cohen
Xiaohui Shen
Bohyung Han
24
41
0
08 Jun 2016
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet
Jianwen Xie
Song-Chun Zhu
Ying Nian Wu
GAN
37
10
0
03 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
20
1,310
0
02 Jun 2016
End-to-End Instance Segmentation with Recurrent Attention
End-to-End Instance Segmentation with Recurrent Attention
Mengye Ren
R. Zemel
SSeg
30
61
0
30 May 2016
Distributed Sequence Memory of Multidimensional Inputs in Recurrent
  Networks
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks
Adam S. Charles
Dong Yin
Christopher Rozell
GNN
33
20
0
26 May 2016
Variational Neural Machine Translation
Variational Neural Machine Translation
Biao Zhang
Deyi Xiong
Jinsong Su
Hong Duan
Min Zhang
VLM
DRL
35
203
0
25 May 2016
Sequential Neural Models with Stochastic Layers
Sequential Neural Models with Stochastic Layers
Marco Fraccaro
Søren Kaae Sønderby
Ulrich Paquet
Ole Winther
BDL
65
393
0
24 May 2016
A Hierarchical Latent Variable Encoder-Decoder Model for Generating
  Dialogues
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Iulian Serban
Alessandro Sordoni
Ryan J. Lowe
Laurent Charlin
Joelle Pineau
Aaron Courville
Yoshua Bengio
BDL
69
1,104
0
19 May 2016
Neural Autoregressive Distribution Estimation
Neural Autoregressive Distribution Estimation
Benigno Uria
Marc-Alexandre Côté
Karol Gregor
Iain Murray
Hugo Larochelle
45
313
0
07 May 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal
  Abstraction and Intrinsic Motivation
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni
Karthik Narasimhan
A. Saeedi
J. Tenenbaum
25
1,127
0
20 Apr 2016
Precomputed Real-Time Texture Synthesis with Markovian Generative
  Adversarial Networks
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
Chuan Li
Michael Wand
GAN
42
1,430
0
15 Apr 2016
Learning Visual Storylines with Skipping Recurrent Neural Networks
Learning Visual Storylines with Skipping Recurrent Neural Networks
Gunnar A. Sigurdsson
Xinlei Chen
Abhinav Gupta
29
38
0
14 Apr 2016
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand
  Pose Estimation
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation
Qianru Ye
Shanxin Yuan
Tae-Kyun Kim
3DH
7
156
0
12 Apr 2016
Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with
  MDLSTM Attention
Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention
Théodore Bluche
J. Louradour
Ronaldo O. Messina
VLM
24
170
0
12 Apr 2016
Recurrent Attentional Networks for Saliency Detection
Recurrent Attentional Networks for Saliency Detection
Jason Kuen
Zhenhua Wang
G. Wang
26
238
0
12 Apr 2016
Back to the Basics: Bayesian extensions of IRT outperform neural
  networks for proficiency estimation
Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation
Kevin H. Wilson
Yan Karklin
B. Han
Chaitanya Ekanadham
24
113
0
08 Apr 2016
Optimizing Performance of Recurrent Neural Networks on GPUs
Optimizing Performance of Recurrent Neural Networks on GPUs
J. Appleyard
Tomás Kociský
Phil Blunsom
25
91
0
07 Apr 2016
Recurrent Mixture Density Network for Spatiotemporal Visual Attention
Recurrent Mixture Density Network for Spatiotemporal Visual Attention
Loris Bazzani
Hugo Larochelle
Lorenzo Torresani
26
133
0
27 Mar 2016
Pixel-Level Domain Transfer
Pixel-Level Domain Transfer
Donggeun Yoo
Namil Kim
Sunggyun Park
Anthony S. Paek
In So Kweon
GAN
20
315
0
24 Mar 2016
Composing graphical models with neural networks for structured
  representations and fast inference
Composing graphical models with neural networks for structured representations and fast inference
Matthew J. Johnson
David Duvenaud
Alexander B. Wiltschko
S. R. Datta
Ryan P. Adams
BDL
OCL
36
482
0
20 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xinyu Wang
Abhinav Gupta
GAN
31
617
0
17 Mar 2016
One-Shot Generalization in Deep Generative Models
One-Shot Generalization in Deep Generative Models
Danilo Jimenez Rezende
S. Mohamed
Ivo Danihelka
Karol Gregor
Daan Wierstra
BDL
VLM
DRL
LRM
30
254
0
16 Mar 2016
How deep is knowledge tracing?
How deep is knowledge tracing?
Mohammad M. Khajah
Robert V. Lindsey
Michael C. Mozer
21
51
0
14 Mar 2016
Image Captioning with Semantic Attention
Image Captioning with Semantic Attention
Quanzeng You
Hailin Jin
Zhaowen Wang
Chen Fang
Jiebo Luo
VLM
67
1,652
0
12 Mar 2016
Variational Neural Discourse Relation Recognizer
Variational Neural Discourse Relation Recognizer
Biao Zhang
Deyi Xiong
Jinsong Su
Qun Liu
Rongrong Ji
Hong Duan
Min Zhang
DRL
BDL
28
19
0
12 Mar 2016
Super Mario as a String: Platformer Level Generation Via LSTMs
Super Mario as a String: Platformer Level Generation Via LSTMs
A. Summerville
Michael Mateas
33
149
0
02 Mar 2016
Representation of linguistic form and function in recurrent neural
  networks
Representation of linguistic form and function in recurrent neural networks
Ákos Kádár
Grzegorz Chrupała
A. Alishahi
27
162
0
29 Feb 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
105
1,925
0
25 Feb 2016
Learning to Generate with Memory
Learning to Generate with Memory
Chongxuan Li
Jun Zhu
Bo Zhang
BDL
24
42
0
24 Feb 2016
Variational inference for Monte Carlo objectives
Variational inference for Monte Carlo objectives
A. Mnih
Danilo Jimenez Rezende
DRL
BDL
52
288
0
22 Feb 2016
Strongly-Typed Recurrent Neural Networks
Strongly-Typed Recurrent Neural Networks
David Balduzzi
Muhammad Ghifary
PINN
16
60
0
06 Feb 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
272
2,553
0
25 Jan 2016
Recurrent Memory Networks for Language Modeling
Recurrent Memory Networks for Language Modeling
Ke M. Tran
Arianna Bisazza
Christof Monz
30
21
0
06 Jan 2016
Inverse Reinforcement Learning via Deep Gaussian Process
Inverse Reinforcement Learning via Deep Gaussian Process
Ming Jin
Andreas C. Damianou
Pieter Abbeel
C. Spanos
OffRL
BDL
GP
29
22
0
26 Dec 2015
A Deep Generative Deconvolutional Image Model
A Deep Generative Deconvolutional Image Model
Yunchen Pu
Xin Yuan
Andrew Stevens
Chunyuan Li
Lawrence Carin
BDL
VLM
23
44
0
23 Dec 2015
ABCNN: Attention-Based Convolutional Neural Network for Modeling
  Sentence Pairs
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
Wenpeng Yin
Hinrich Schütze
Bing Xiang
Bowen Zhou
41
939
0
16 Dec 2015
Recurrent Instance Segmentation
Recurrent Instance Segmentation
Bernardino Romera-Paredes
Philip Torr
SSeg
27
329
0
25 Nov 2015
Dynamic Capacity Networks
Dynamic Capacity Networks
Amjad Almahairi
Nicolas Ballas
Tim Cooijmans
Yin Zheng
Hugo Larochelle
Aaron Courville
33
96
0
24 Nov 2015
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Justin Johnson
A. Karpathy
Li Fei-Fei
VLM
74
1,159
0
24 Nov 2015
The Variational Gaussian Process
The Variational Gaussian Process
Dustin Tran
Rajesh Ranganath
David M. Blei
BDL
37
184
0
20 Nov 2015
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