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Deep Networks with Internal Selective Attention through Feedback
  Connections

Deep Networks with Internal Selective Attention through Feedback Connections

11 July 2014
Marijn F. Stollenga
Jonathan Masci
Faustino J. Gomez
Jürgen Schmidhuber
ArXivPDFHTML

Papers citing "Deep Networks with Internal Selective Attention through Feedback Connections"

42 / 92 papers shown
Title
Classification of Radiology Reports Using Neural Attention Models
Classification of Radiology Reports Using Neural Attention Models
Bonggun Shin
F. Chokshi
Timothy Lee
Jinho Choi
41
48
0
22 Aug 2017
Learning with Rethinking: Recurrently Improving Convolutional Neural
  Networks through Feedback
Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback
Xuzhao Li
Zequn Jie
Jiashi Feng
Changsong Liu
Shuicheng Yan
SSL
22
36
0
15 Aug 2017
Skeleton-Based Human Action Recognition with Global Context-Aware
  Attention LSTM Networks
Skeleton-Based Human Action Recognition with Global Context-Aware Attention LSTM Networks
Jun Liu
G. Wang
Ling-yu Duan
Kamila Abdiyeva
Alex C. Kot
HAI
29
486
0
18 Jul 2017
Visual Question Answering with Memory-Augmented Networks
Visual Question Answering with Memory-Augmented Networks
Chao Ma
Chunhua Shen
A. Dick
Qi Wu
Peng Wang
Anton Van Den Hengel
Ian Reid
23
98
0
17 Jul 2017
Hierarchical Attentive Recurrent Tracking
Hierarchical Attentive Recurrent Tracking
Adam R. Kosiorek
Alex Bewley
Ingmar Posner
VOS
25
60
0
28 Jun 2017
Transfer entropy-based feedback improves performance in artificial
  neural networks
Transfer entropy-based feedback improves performance in artificial neural networks
S. Herzog
Christian Tetzlaff
F. Worgotter
29
7
0
13 Jun 2017
Research on Bi-mode Biometrics Based on Deep Learning
Research on Bi-mode Biometrics Based on Deep Learning
Hao Jiang
CVBM
20
0
0
16 May 2017
Speech-Based Visual Question Answering
Speech-Based Visual Question Answering
Ted Zhang
Dengxin Dai
Tinne Tuytelaars
Marie-Francine Moens
Luc Van Gool
34
24
0
01 May 2017
Inception Recurrent Convolutional Neural Network for Object Recognition
Inception Recurrent Convolutional Neural Network for Object Recognition
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
39
86
0
25 Apr 2017
Residual Attention Network for Image Classification
Residual Attention Network for Image Classification
Fei Wang
Mengqing Jiang
Chao Qian
Shuo Yang
Cheng Li
Honggang Zhang
Xiaogang Wang
Xiaoou Tang
66
3,288
0
23 Apr 2017
Solar Power Plant Detection on Multi-Spectral Satellite Imagery using
  Weakly-Supervised CNN with Feedback Features and m-PCNN Fusion
Solar Power Plant Detection on Multi-Spectral Satellite Imagery using Weakly-Supervised CNN with Feedback Features and m-PCNN Fusion
Nevrez Imamoglu
Motoki Kimura
H. Miyamoto
A. Fujita
Ryosuke Nakamura
16
12
0
21 Apr 2017
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
33
112
0
30 Mar 2017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs
  by Selective Execution
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution
Lanlan Liu
Jia Deng
24
200
0
02 Jan 2017
Feedback Networks
Feedback Networks
Amir Zamir
Te-Lin Wu
Lin Sun
Bokui (William) Shen
Jitendra Malik
Silvio Savarese
18
209
0
30 Dec 2016
Exploring Different Dimensions of Attention for Uncertainty Detection
Exploring Different Dimensions of Attention for Uncertainty Detection
Heike Adel
Hinrich Schütze
23
49
0
20 Dec 2016
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
19
1,451
0
07 Dec 2016
Recurrent Memory Addressing for describing videos
Recurrent Memory Addressing for describing videos
A. Jain
Abhinav Agarwalla
Kumar Krishna Agrawal
Pabitra Mitra
38
10
0
20 Nov 2016
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks
  for Image Captioning
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning
Long Chen
Hanwang Zhang
Jun Xiao
Liqiang Nie
Jian Shao
Wei Liu
Tat-Seng Chua
21
1,650
0
17 Nov 2016
Dual Attention Networks for Multimodal Reasoning and Matching
Dual Attention Networks for Multimodal Reasoning and Matching
Hyeonseob Nam
Jung-Woo Ha
Jeonghee Kim
34
664
0
02 Nov 2016
Lexicon Integrated CNN Models with Attention for Sentiment Analysis
Lexicon Integrated CNN Models with Attention for Sentiment Analysis
Bonggun Shin
Timothy Lee
Jinho Choi
28
113
0
20 Oct 2016
Lets keep it simple, Using simple architectures to outperform deeper and
  more complex architectures
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
18
118
0
22 Aug 2016
Collaborative Layer-wise Discriminative Learning in Deep Neural Networks
Collaborative Layer-wise Discriminative Learning in Deep Neural Networks
Xiaojie Jin
Yunpeng Chen
Jian Dong
Jiashi Feng
Shuicheng Yan
26
21
0
19 Jul 2016
Training Skinny Deep Neural Networks with Iterative Hard Thresholding
  Methods
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods
Xiaojie Jin
Xiao-Tong Yuan
Jiashi Feng
Shuicheng Yan
16
78
0
19 Jul 2016
Multi-Bias Non-linear Activation in Deep Neural Networks
Multi-Bias Non-linear Activation in Deep Neural Networks
Hongyang Li
Wanli Ouyang
Xiaogang Wang
15
64
0
03 Apr 2016
Convolution in Convolution for Network in Network
Convolution in Convolution for Network in Network
Yanwei Pang
Manli Sun
Xiaoheng Jiang
Xuelong Li
26
167
0
22 Mar 2016
Dynamic Memory Networks for Visual and Textual Question Answering
Dynamic Memory Networks for Visual and Textual Question Answering
Caiming Xiong
Stephen Merity
R. Socher
20
753
0
04 Mar 2016
Cascaded Subpatch Networks for Effective CNNs
Cascaded Subpatch Networks for Effective CNNs
Xiaoheng Jiang
Yanwei Pang
Manli Sun
Xuelong Li
20
39
0
01 Mar 2016
Feature-based Attention in Convolutional Neural Networks
Feature-based Attention in Convolutional Neural Networks
Grace W. Lindsay
22
15
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
23
315
0
19 Nov 2015
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed,
  Gated, and Tree
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
Chen-Yu Lee
Patrick W. Gallagher
Z. Tu
AI4CE
13
483
0
30 Sep 2015
Human Pose Estimation with Iterative Error Feedback
Human Pose Estimation with Iterative Error Feedback
João Carreira
Pulkit Agrawal
Katerina Fragkiadaki
Jitendra Malik
3DH
26
750
0
23 Jul 2015
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
21
1,669
0
22 Jul 2015
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
A. Kumar
Ozan Irsoy
Peter Ondruska
Mohit Iyyer
James Bradbury
Ishaan Gulrajani
Victor Zhong
Romain Paulus
R. Socher
54
1,175
0
24 Jun 2015
Deep SimNets
Deep SimNets
Nadav Cohen
Or Sharir
Amnon Shashua
32
46
0
09 Jun 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
161
7,337
0
05 Jun 2015
Gated Feedback Recurrent Neural Networks
Gated Feedback Recurrent Neural Networks
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
27
822
0
09 Feb 2015
Sketch-a-Net that Beats Humans
Sketch-a-Net that Beats Humans
Qian Yu
Yongxin Yang
Yi-Zhe Song
Tao Xiang
Timothy M. Hospedales
BDL
22
51
0
30 Jan 2015
Hyper-parameter optimization of Deep Convolutional Networks for object
  recognition
Hyper-parameter optimization of Deep Convolutional Networks for object recognition
S. Talathi
31
25
0
30 Jan 2015
Learning Activation Functions to Improve Deep Neural Networks
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli
Matthew Hoffman
Peter Sadowski
Pierre Baldi
ODL
50
472
0
21 Dec 2014
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
58
4,641
0
21 Dec 2014
Towards Deep Neural Network Architectures Robust to Adversarial Examples
Towards Deep Neural Network Architectures Robust to Adversarial Examples
S. Gu
Luca Rigazio
AAML
24
836
0
11 Dec 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
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