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A Probabilistic Hard Attention Model For Sequentially Observed Scenes

A Probabilistic Hard Attention Model For Sequentially Observed Scenes

15 November 2021
Samrudhdhi B. Rangrej
James J. Clark
ArXiv (abs)PDFHTML

Papers citing "A Probabilistic Hard Attention Model For Sequentially Observed Scenes"

38 / 38 papers shown
Title
Differentiable Patch Selection for Image Recognition
Differentiable Patch Selection for Image Recognition
Jean-Baptiste Cordonnier
Aravindh Mahendran
Alexey Dosovitskiy
Dirk Weissenborn
Jakob Uszkoreit
Thomas Unterthiner
73
95
0
07 Apr 2021
Hard-Attention for Scalable Image Classification
Hard-Attention for Scalable Image Classification
Athanasios Papadopoulos
Pawel Korus
N. Memon
98
25
0
20 Feb 2021
Learning When and Where to Zoom with Deep Reinforcement Learning
Learning When and Where to Zoom with Deep Reinforcement Learning
Burak Uzkent
Stefano Ermon
80
69
0
01 Mar 2020
Very Long Natural Scenery Image Prediction by Outpainting
Very Long Natural Scenery Image Prediction by Outpainting
Zongxin Yang
Jian Dong
Ping Liu
Yi Yang
Shuicheng Yan
56
87
0
29 Dec 2019
PiiGAN: Generative Adversarial Networks for Pluralistic Image Inpainting
PiiGAN: Generative Adversarial Networks for Pluralistic Image Inpainting
Weiwei Cai
Zhanguo Wei
GAN
53
112
0
04 Dec 2019
Multimodal Image Outpainting With Regularized Normalized Diversification
Multimodal Image Outpainting With Regularized Normalized Diversification
Lingzhi Zhang
Jiancong Wang
Jianbo Shi
DiffM
94
15
0
25 Oct 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
58
73
0
20 Aug 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
47
4
0
13 Jun 2019
Neural Spline Flows
Neural Spline Flows
Conor Durkan
Artur Bekasov
Iain Murray
George Papamakarios
DRL
183
777
0
10 Jun 2019
Processing Megapixel Images with Deep Attention-Sampling Models
Processing Megapixel Images with Deep Attention-Sampling Models
Angelos Katharopoulos
Franccois Fleuret
61
65
0
03 May 2019
Pluralistic Image Completion
Pluralistic Image Completion
Chuanxia Zheng
Tat-Jen Cham
Jianfei Cai
52
456
0
11 Mar 2019
MIST: Multiple Instance Spatial Transformer Network
MIST: Multiple Instance Spatial Transformer Network
Baptiste Angles
Shahram Izadi
Simon Kornblith
Andrea Tagliasacchi
K. M. Yi
57
5
0
26 Nov 2018
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial
  VAE
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
Chao Ma
Sebastian Tschiatschek
Konstantina Palla
José Miguel Hernández-Lobato
Sebastian Nowozin
Cheng Zhang
77
129
0
28 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDLDRL
297
3,138
0
09 Jul 2018
Neural Processes
Neural Processes
M. Garnelo
Jonathan Richard Schwarz
Dan Rosenbaum
Fabio Viola
Danilo Jimenez Rezende
S. M. Ali Eslami
Yee Whye Teh
BDLUQCVGP
96
515
0
04 Jul 2018
Conditional Neural Processes
Conditional Neural Processes
M. Garnelo
Dan Rosenbaum
Chris J. Maddison
Tiago Ramalho
D. Saxton
Murray Shanahan
Yee Whye Teh
Danilo Jimenez Rezende
S. M. Ali Eslami
UQCVBDL
88
705
0
04 Jul 2018
Active Feature Acquisition with Supervised Matrix Completion
Active Feature Acquisition with Supervised Matrix Completion
Sheng-Jun Huang
Miao Xu
Ming-Kun Xie
Masashi Sugiyama
Gang Niu
Songcan Chen
72
47
0
15 Feb 2018
Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning
Maximilian Ilse
Jakub M. Tomczak
Max Welling
175
1,823
0
13 Feb 2018
Generative Image Inpainting with Contextual Attention
Generative Image Inpainting with Contextual Attention
Jiahui Yu
Zhe Lin
Jimei Yang
Xiaohui Shen
Xin Lu
Thomas S. Huang
GANDiffM
103
2,266
0
24 Jan 2018
Dynamic Computational Time for Visual Attention
Dynamic Computational Time for Visual Attention
Zhichao Li
Yi Yang
Xiao-Chang Liu
Feng Zhou
Shilei Wen
Wenyuan Xu
78
113
0
30 Mar 2017
A Structured Self-attentive Sentence Embedding
A Structured Self-attentive Sentence Embedding
Zhouhan Lin
Minwei Feng
Cicero Nogueira dos Santos
Mo Yu
Bing Xiang
Bowen Zhou
Yoshua Bengio
115
2,140
0
09 Mar 2017
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
413
10,526
0
21 Jul 2016
Improving Variational Inference with Inverse Autoregressive Flow
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma
Tim Salimans
Rafal Jozefowicz
Xi Chen
Ilya Sutskever
Max Welling
BDLDRL
142
1,823
0
15 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
275
78
0
26 May 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
67
5,299
0
25 Apr 2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
S. M. Ali Eslami
N. Heess
T. Weber
Yuval Tassa
David Szepesvari
Koray Kavukcuoglu
Geoffrey E. Hinton
3DVBDLOCL
127
551
0
28 Mar 2016
Learning Wake-Sleep Recurrent Attention Models
Learning Wake-Sleep Recurrent Attention Models
Jimmy Ba
Roger C. Grosse
Ruslan Salakhutdinov
B. Frey
BDL
90
65
0
22 Sep 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
306
7,389
0
05 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
520
62,360
0
04 Jun 2015
DRAW: A Recurrent Neural Network For Image Generation
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GANDRL
170
1,961
0
16 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,328
0
11 Feb 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
348
10,079
0
10 Feb 2015
Attention for Fine-Grained Categorization
Attention for Fine-Grained Categorization
P. Sermanet
Andrea Frome
Esteban Real
75
160
0
22 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
155
3,657
0
24 Jun 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,923
0
20 Dec 2013
Learning Generative Models with Visual Attention
Learning Generative Models with Visual Attention
Yichuan Tang
Nitish Srivastava
Ruslan Salakhutdinov
DiffM
147
85
0
20 Dec 2013
Learning where to Attend with Deep Architectures for Image Tracking
Learning where to Attend with Deep Architectures for Image Tracking
Misha Denil
Loris Bazzani
Hugo Larochelle
Nando de Freitas
111
207
0
16 Sep 2011
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