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Neural Attention Models in Deep Learning: Survey and Taxonomy

Neural Attention Models in Deep Learning: Survey and Taxonomy

11 December 2021
Alana de Santana Correia
Esther Colombini
    MLAU
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Papers citing "Neural Attention Models in Deep Learning: Survey and Taxonomy"

5 / 5 papers shown
Title
LARF: Two-level Attention-based Random Forests with a Mixture of
  Contamination Models
LARF: Two-level Attention-based Random Forests with a Mixture of Contamination Models
A. Konstantinov
Lev V. Utkin
41
0
0
11 Oct 2022
Improved Anomaly Detection by Using the Attention-Based Isolation Forest
Improved Anomaly Detection by Using the Attention-Based Isolation Forest
Lev V. Utkin
A. Ageev
A. Konstantinov
41
6
0
05 Oct 2022
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image
  Captioning
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
Jiasen Lu
Caiming Xiong
Devi Parikh
R. Socher
85
1,442
0
06 Dec 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,929
0
17 Aug 2015
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
211
3,515
0
10 Jun 2015
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