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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 / 328 papers shown
Title
Professor Forcing: A New Algorithm for Training Recurrent Networks
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb
Anirudh Goyal
Ying Zhang
Saizheng Zhang
Aaron Courville
Yoshua Bengio
GAN
51
588
0
27 Oct 2016
Learning What and Where to Draw
Learning What and Where to Draw
Scott E. Reed
Zeynep Akata
S. Mohan
Samuel Tenka
Bernt Schiele
Honglak Lee
DRL
GAN
30
618
0
08 Oct 2016
Structured Inference Networks for Nonlinear State Space Models
Structured Inference Networks for Nonlinear State Space Models
Rahul G. Krishnan
Uri Shalit
David Sontag
BDL
14
451
0
30 Sep 2016
Variational Inference with Hamiltonian Monte Carlo
Variational Inference with Hamiltonian Monte Carlo
Christopher Wolf
Maximilian Karl
Patrick van der Smagt
BDL
21
37
0
26 Sep 2016
Example-Based Image Synthesis via Randomized Patch-Matching
Example-Based Image Synthesis via Randomized Patch-Matching
Yi Ren
Yaniv Romano
Michael Elad
3DV
20
9
0
23 Sep 2016
Discrete Variational Autoencoders
Discrete Variational Autoencoders
J. Rolfe
BDL
DRL
35
254
0
07 Sep 2016
Learning Temporal Transformations From Time-Lapse Videos
Learning Temporal Transformations From Time-Lapse Videos
Yipin Zhou
Tamara L. Berg
28
148
0
27 Aug 2016
LFADS - Latent Factor Analysis via Dynamical Systems
LFADS - Latent Factor Analysis via Dynamical Systems
David Sussillo
Rafal Jozefowicz
L. F. Abbott
C. Pandarinath
AI4CE
24
89
0
22 Aug 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse
  Time Attention Mechanism
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
E. Choi
M. T. Bahadori
Joshua A. Kulas
A. Schuetz
Walter F. Stewart
Jimeng Sun
AI4TS
34
1,229
0
19 Aug 2016
Seeing with Humans: Gaze-Assisted Neural Image Captioning
Seeing with Humans: Gaze-Assisted Neural Image Captioning
Yusuke Sugano
Andreas Bulling
24
68
0
18 Aug 2016
End-to-End Localization and Ranking for Relative Attributes
End-to-End Localization and Ranking for Relative Attributes
Krishna Kumar Singh
Yong Jae Lee
19
76
0
09 Aug 2016
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
Yaroslav Ganin
Daniil Kononenko
Diana Sungatullina
Victor Lempitsky
CVBM
22
122
0
25 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
24
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 L. 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-Yu Liu
Oncel Tuzel
OOD
GAN
17
1,622
0
24 Jun 2016
Tutorial on Variational Autoencoders
Tutorial on Variational Autoencoders
Carl Doersch
BDL
DRL
13
1,722
0
19 Jun 2016
Inverting face embeddings with convolutional neural networks
Inverting face embeddings with convolutional neural networks
A. Zhmoginov
Mark Sandler
3DH
CVBM
9
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
27
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
16
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
27
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
28
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
46
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
25
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
16
1,125
0
20 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
23
38
0
14 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
21
170
0
12 Apr 2016
Recurrent Attentional Networks for Saliency Detection
Recurrent Attentional Networks for Saliency Detection
Jason Kuen
Zhenhua Wang
G. Wang
16
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
11
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
17
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
19
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
9
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
20
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
25
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
27
254
0
16 Mar 2016
How deep is knowledge tracing?
How deep is knowledge tracing?
Mohammad M. Khajah
Robert V. Lindsey
Michael C. Mozer
13
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
26
1,651
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
12
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
25
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
72
1,924
0
25 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
251
2,550
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
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