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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
Handwritten Optical Character Recognition (OCR): A Comprehensive
  Systematic Literature Review (SLR)
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
Jamshed Memon
Maira Sami
Rizwan Ahmed Khan
33
322
0
01 Jan 2020
Deep Automodulators
Deep Automodulators
Ari Heljakka
Wenshuai Zhao
Arno Solin
Arno Solin
36
5
0
21 Dec 2019
Learning Multi-layer Latent Variable Model via Variational Optimization
  of Short Run MCMC for Approximate Inference
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference
Erik Nijkamp
Bo Pang
Tian Han
Linqi Zhou
Song-Chun Zhu
Ying Nian Wu
BDL
DRL
19
2
0
04 Dec 2019
Multiple Futures Prediction
Multiple Futures Prediction
Yichuan Tang
Ruslan Salakhutdinov
39
348
0
04 Nov 2019
On Generalization Bounds of a Family of Recurrent Neural Networks
On Generalization Bounds of a Family of Recurrent Neural Networks
Minshuo Chen
Xingguo Li
T. Zhao
19
70
0
28 Oct 2019
Design, Benchmarking and Explainability Analysis of a Game-Theoretic
  Framework towards Energy Efficiency in Smart Infrastructure
Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure
Ioannis C. Konstantakopoulos
Hari Prasanna Das
Andrew R. Barkan
Shiying He
Tanya Veeravalli
Huihan Liu
Aummul Baneen Manasawala
Yu-Wen Lin
C. Spanos
27
21
0
16 Oct 2019
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula
  Processes
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes
David Salinas
Michael Bohlke-Schneider
Laurent Callot
Roberto Medico
Jan Gasthaus
AI4TS
30
224
0
07 Oct 2019
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic
  Patterns
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns
Jianwen Xie
Song-Chun Zhu
Ying Nian Wu
GAN
29
52
0
26 Sep 2019
Where to Look Next: Unsupervised Active Visual Exploration on 360°
  Input
Where to Look Next: Unsupervised Active Visual Exploration on 360° Input
Soroush Seifi
Tinne Tuytelaars
27
10
0
23 Sep 2019
Generating Data using Monte Carlo Dropout
Generating Data using Monte Carlo Dropout
Kristian Miok
Dong Nguyen Doan
D. Zaharie
Marko Robnik-Šikonja
SyDa
27
13
0
12 Sep 2019
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with
  Multiple Seasonal Patterns
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns
Kasun Bandara
Christoph Bergmeir
Hansika Hewamalage
AI4TS
17
138
0
10 Sep 2019
A Data-Efficient Deep Learning Approach for Deployable Multimodal Social
  Robots
A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots
Heriberto Cuayáhuitl
OffRL
32
17
0
27 Aug 2019
Saccader: Improving Accuracy of Hard Attention Models for Vision
Saccader: Improving Accuracy of Hard Attention Models for Vision
Gamaleldin F. Elsayed
Simon Kornblith
Quoc V. Le
VLM
29
72
0
20 Aug 2019
Survey on Deep Neural Networks in Speech and Vision Systems
Survey on Deep Neural Networks in Speech and Vision Systems
M. Alam
Manar D. Samad
Lasitha Vidyaratne
Alexander M. Glandon
Khan M. Iftekharuddin
3DV
VLM
AI4TS
34
205
0
16 Aug 2019
Multimodal Unified Attention Networks for Vision-and-Language
  Interactions
Multimodal Unified Attention Networks for Vision-and-Language Interactions
Zhou Yu
Yuhao Cui
Jun Yu
Dacheng Tao
Q. Tian
27
38
0
12 Aug 2019
RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents
  in Dense Traffic with Noisy Sensor Inputs
RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs
Rohan Chandra
Uttaran Bhattacharya
Christian Roncal
Aniket Bera
Tianyi Zhou
35
59
0
20 Jul 2019
The continuous Bernoulli: fixing a pervasive error in variational
  autoencoders
The continuous Bernoulli: fixing a pervasive error in variational autoencoders
G. Loaiza-Ganem
John P. Cunningham
DRL
29
83
0
16 Jul 2019
Graph Representation Learning via Hard and Channel-Wise Attention
  Networks
Graph Representation Learning via Hard and Channel-Wise Attention Networks
Hongyang Gao
Shuiwang Ji
GNN
25
57
0
05 Jul 2019
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks
Qi She
Anqi Wu
BDL
26
34
0
01 Jul 2019
Variational Sequential Labelers for Semi-Supervised Learning
Variational Sequential Labelers for Semi-Supervised Learning
Mingda Chen
Qingming Tang
Karen Livescu
Kevin Gimpel
SSL
DRL
BDL
VLM
30
39
0
23 Jun 2019
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural
  Network Training
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training
William Harvey
Michael Teng
Frank Wood
31
4
0
13 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural
  Scene Representations
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann
Michael Zollhoefer
Gordon Wetzstein
3DPC
3DV
80
1,267
0
04 Jun 2019
Disentangling neural mechanisms for perceptual grouping
Disentangling neural mechanisms for perceptual grouping
Junkyung Kim
Drew Linsley
Kalpit C. Thakkar
Thomas Serre
OCL
26
54
0
04 Jun 2019
Texture Fields: Learning Texture Representations in Function Space
Texture Fields: Learning Texture Representations in Function Space
Michael Oechsle
L. Mescheder
Michael Niemeyer
Thilo Strauss
Andreas Geiger
3DH
3DV
50
296
0
17 May 2019
DynamoNet: Dynamic Action and Motion Network
DynamoNet: Dynamic Action and Motion Network
Ali Diba
Vivek Sharma
Luc Van Gool
Rainer Stiefelhagen
30
110
0
25 Apr 2019
STEP: Spatio-Temporal Progressive Learning for Video Action Detection
STEP: Spatio-Temporal Progressive Learning for Video Action Detection
Xitong Yang
Xiaodong Yang
Ming Liu
Fanyi Xiao
L. Davis
Jan Kautz
30
138
0
19 Apr 2019
Synthetic Examples Improve Generalization for Rare Classes
Synthetic Examples Improve Generalization for Rare Classes
Sara Beery
Yang Liu
Dan Morris
Jim Piavis
Ashish Kapoor
M. Meister
Neel Joshi
Pietro Perona
23
95
0
11 Apr 2019
Neural Networks for Modeling Source Code Edits
Neural Networks for Modeling Source Code Edits
Rui Zhao
David Bieber
Kevin Swersky
Daniel Tarlow
19
12
0
04 Apr 2019
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
Saurabh Sharma
Pavan Teja Varigonda
Prashast Bindal
Abhishek Sharma
Arjun Jain
3DH
24
153
0
02 Apr 2019
Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention
Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention
Ye Xia
Jinkyu Kim
John F. Canny
K. Zipser
D. Whitney
24
51
0
24 Mar 2019
Topic-Guided Variational Autoencoders for Text Generation
Topic-Guided Variational Autoencoders for Text Generation
Wenlin Wang
Zhe Gan
Hongteng Xu
Ruiyi Zhang
Guoyin Wang
Dinghan Shen
Changyou Chen
Lawrence Carin
BDL
33
126
0
17 Mar 2019
Unsupervised and interpretable scene discovery with
  Discrete-Attend-Infer-Repeat
Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat
Duo Wang
M. Jamnik
Pietro Lio
BDL
OCL
26
5
0
14 Mar 2019
Learning Parallax Attention for Stereo Image Super-Resolution
Learning Parallax Attention for Stereo Image Super-Resolution
Longguang Wang
Yingqian Wang
Zhengfa Liang
Zaiping Lin
Jungang Yang
W. An
Yulan Guo
SupR
29
249
0
14 Mar 2019
Multi-Object Representation Learning with Iterative Variational
  Inference
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff
Raphael Lopez Kaufman
Rishabh Kabra
Nicholas Watters
Christopher P. Burgess
Daniel Zoran
Loic Matthey
M. Botvinick
Alexander Lerchner
OCL
SSL
42
499
0
01 Mar 2019
Regularity Normalization: Neuroscience-Inspired Unsupervised Attention
  across Neural Network Layers
Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers
Baihan Lin
19
2
0
27 Feb 2019
World Discovery Models
World Discovery Models
M. G. Azar
Bilal Piot
Bernardo Avila-Pires
Jean-Bastien Grill
Florent Altché
Rémi Munos
21
26
0
20 Feb 2019
Deep Divergence-Based Approach to Clustering
Deep Divergence-Based Approach to Clustering
Michael C. Kampffmeyer
Sigurd Løkse
F. Bianchi
L. Livi
Arnt-Børre Salberg
Robert Jenssen
31
61
0
13 Feb 2019
StampNet: unsupervised multi-class object discovery
StampNet: unsupervised multi-class object discovery
Joost Visser
Alessandro Corbetta
Vlado Menkovski
F. Toschi
ObjD
19
4
0
07 Feb 2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for
  Health Profiling
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling
Hao Wang
Chengzhi Mao
Hao He
Mingmin Zhao
Tommi Jaakkola
Dina Katabi
BDL
24
22
0
06 Feb 2019
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
Zhe Gan
Yu Cheng
Ahmed El Kholy
Linjie Li
Jingjing Liu
Jianfeng Gao
13
104
0
01 Feb 2019
Sales Demand Forecast in E-commerce using a Long Short-Term Memory
  Neural Network Methodology
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology
Kasun Bandara
Peibei Shi
Christoph Bergmeir
Hansika Hewamalage
Quoc-Huy Tran
Brian Seaman
AI4TS
22
146
0
13 Jan 2019
RNN-based Generative Model for Fine-Grained Sketching
RNN-based Generative Model for Fine-Grained Sketching
A. Jenal
Nikolay Savinov
Torsten Sattler
G. Chaurasia
GAN
22
4
0
13 Jan 2019
Stroke-based sketched symbol reconstruction and segmentation
Stroke-based sketched symbol reconstruction and segmentation
Kurmanbek Kaiyrbekov
M. Sezgin
22
19
0
10 Jan 2019
Forecasting People Trajectories and Head Poses by Jointly Reasoning on
  Tracklets and Vislets
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets
Irtiza Hasan
Francesco Setti
T. Tsesmelis
Vasileios Belagiannis
S. Amin
Alessio Del Bue
Marco Cristani
Fabio Galasso
21
35
0
07 Jan 2019
Generative One-Shot Learning (GOL): A Semi-Parametric Approach to
  One-Shot Learning in Autonomous Vision
Generative One-Shot Learning (GOL): A Semi-Parametric Approach to One-Shot Learning in Autonomous Vision
Sorin Grigorescu
GAN
VLM
22
12
0
19 Dec 2018
Variational Autoencoders Pursue PCA Directions (by Accident)
Variational Autoencoders Pursue PCA Directions (by Accident)
Michal Rolínek
Dominik Zietlow
Georg Martius
OOD
DRL
29
150
0
17 Dec 2018
Unsupervised Image Decomposition in Vector Layers
Unsupervised Image Decomposition in Vector Layers
Othman Sbai
Camille Couprie
Mathieu Aubry
41
8
0
13 Dec 2018
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using
  Weighted Interactions
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions
Rohan Chandra
Uttaran Bhattacharya
Aniket Bera
Tianyi Zhou
28
256
0
12 Dec 2018
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional
  Generative Models
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models
Daniel E. Ritchie
Kai Wang
Yu-An Lin
3DV
24
155
0
29 Nov 2018
MIST: Multiple Instance Spatial Transformer Network
MIST: Multiple Instance Spatial Transformer Network
Baptiste Angles
Shahram Izadi
Simon Kornblith
Andrea Tagliasacchi
K. M. Yi
30
5
0
26 Nov 2018
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