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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"

28 / 328 papers shown
Title
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
13
22
0
26 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
36
939
0
16 Dec 2015
Recurrent Instance Segmentation
Recurrent Instance Segmentation
Bernardino Romera-Paredes
Philip H. S. Torr
SSeg
19
329
0
25 Nov 2015
Dynamic Capacity Networks
Dynamic Capacity Networks
Amjad Almahairi
Nicolas Ballas
Tim Cooijmans
Yin Zheng
Hugo Larochelle
Aaron Courville
17
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
42
1,159
0
24 Nov 2015
Learning to Generate Images with Perceptual Similarity Metrics
Learning to Generate Images with Perceptual Similarity Metrics
Jake C. Snell
Karl Ridgeway
Renjie Liao
Brett D. Roads
Michael C. Mozer
R. Zemel
EGVM
11
176
0
19 Nov 2015
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
34
2,341
0
19 Nov 2015
Conditional Computation in Neural Networks for faster models
Conditional Computation in Neural Networks for faster models
Emmanuel Bengio
Pierre-Luc Bacon
Joelle Pineau
Doina Precup
AI4CE
18
315
0
19 Nov 2015
Variable Rate Image Compression with Recurrent Neural Networks
Variable Rate Image Compression with Recurrent Neural Networks
G. Toderici
Sean M. O'Malley
S. Hwang
Damien Vincent
David C. Minnen
S. Baluja
Michele Covell
Rahul Sukthankar
19
667
0
19 Nov 2015
Neural Variational Inference for Text Processing
Neural Variational Inference for Text Processing
Yishu Miao
Lei Yu
Phil Blunsom
VLM
DRL
28
616
0
19 Nov 2015
Super-Resolution with Deep Convolutional Sufficient Statistics
Super-Resolution with Deep Convolutional Sufficient Statistics
Joan Bruna
Pablo Sprechmann
Yann LeCun
SupR
20
323
0
18 Nov 2015
Deep Kalman Filters
Deep Kalman Filters
Rahul G. Krishnan
Uri Shalit
David Sontag
BDL
AI4TS
14
370
0
16 Nov 2015
Facial Landmark Detection with Tweaked Convolutional Neural Networks
Facial Landmark Detection with Tweaked Convolutional Neural Networks
Yue Wu
Tal Hassner
Kanggeon Kim
Gérard Medioni
Premkumar Natarajan
CVBM
15
173
0
12 Nov 2015
Visual7W: Grounded Question Answering in Images
Visual7W: Grounded Question Answering in Images
Yuke Zhu
Oliver Groth
Michael S. Bernstein
Li Fei-Fei
44
870
0
11 Nov 2015
Attention to Scale: Scale-aware Semantic Image Segmentation
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
SSeg
54
1,315
0
10 Nov 2015
Generating Images from Captions with Attention
Generating Images from Captions with Attention
Elman Mansimov
Emilio Parisotto
Jimmy Lei Ba
Ruslan Salakhutdinov
VLM
38
449
0
09 Nov 2015
RATM: Recurrent Attentive Tracking Model
RATM: Recurrent Attentive Tracking Model
Samira Ebrahimi Kahou
Vincent Michalski
Roland Memisevic
40
84
0
29 Oct 2015
Learning FRAME Models Using CNN Filters
Learning FRAME Models Using CNN Filters
Yang Lu
Song-Chun Zhu
Ying Nian Wu
GAN
28
66
0
28 Sep 2015
Learning Wake-Sleep Recurrent Attention Models
Learning Wake-Sleep Recurrent Attention Models
Jimmy Ba
Roger C. Grosse
Ruslan Salakhutdinov
B. Frey
BDL
32
65
0
22 Sep 2015
Learning Contextual Dependencies with Convolutional Hierarchical
  Recurrent Neural Networks
Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks
Zhen Zuo
Bing Shuai
G. Wang
Xiao Liu
Xingxing Wang
B. Wang
11
93
0
13 Sep 2015
Describing Multimedia Content using Attention-based Encoder--Decoder
  Networks
Describing Multimedia Content using Attention-based Encoder--Decoder Networks
Kyunghyun Cho
Aaron Courville
Yoshua Bengio
32
411
0
04 Jul 2015
Data Generation as Sequential Decision Making
Data Generation as Sequential Decision Making
Philip Bachman
Doina Precup
22
57
0
10 Jun 2015
Neural Adaptive Sequential Monte Carlo
Neural Adaptive Sequential Monte Carlo
S. Gu
Zoubin Ghahramani
Richard Turner
BDL
16
145
0
10 Jun 2015
A Recurrent Latent Variable Model for Sequential Data
A Recurrent Latent Variable Model for Sequential Data
Junyoung Chung
Kyle Kastner
Laurent Dinh
Kratarth Goel
Aaron Courville
Yoshua Bengio
DRL
BDL
22
1,242
0
07 Jun 2015
Blocks and Fuel: Frameworks for deep learning
Blocks and Fuel: Frameworks for deep learning
B. V. Merrienboer
Dzmitry Bahdanau
Vincent Dumoulin
Dmitriy Serdyuk
David Warde-Farley
J. Chorowski
Yoshua Bengio
MoE
20
188
0
01 Jun 2015
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRL
BDL
16
4,097
0
21 May 2015
Differential Recurrent Neural Networks for Action Recognition
Differential Recurrent Neural Networks for Action Recognition
Vivek Veeriah
Naifan Zhuang
Guo-Jun Qi
30
462
0
25 Apr 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
97
10,006
0
10 Feb 2015
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