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An Attentive Survey of Attention Models

An Attentive Survey of Attention Models

5 April 2019
S. Chaudhari
Varun Mithal
Gungor Polatkan
R. Ramanath
ArXivPDFHTML

Papers citing "An Attentive Survey of Attention Models"

41 / 41 papers shown
Title
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
Jinhui Yi
Huan Yan
Haotian Wang
Jian Yuan
Y. Li
37
4
0
01 May 2025
DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction
DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction
John Wu
David Wu
Jimeng Sun
77
0
0
16 Sep 2024
InstInfer: In-Storage Attention Offloading for Cost-Effective
  Long-Context LLM Inference
InstInfer: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference
Xiurui Pan
Endian Li
Qiao Li
Shengwen Liang
Yizhou Shan
Ke Zhou
Yingwei Luo
Xiaolin Wang
Jie Zhang
43
10
0
08 Sep 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Guanqiao Qu
Qiyuan Chen
Wei Wei
Zheng Lin
Xianhao Chen
Kaibin Huang
40
43
0
09 Jul 2024
Developing An Attention-Based Ensemble Learning Framework for Financial
  Portfolio Optimisation
Developing An Attention-Based Ensemble Learning Framework for Financial Portfolio Optimisation
Zhenglong Li
Vincent Tam
22
0
0
13 Apr 2024
Delving Deeper Into Astromorphic Transformers
Delving Deeper Into Astromorphic Transformers
Md. Zesun Ahmed Mia
Malyaban Bal
Abhronil Sengupta
34
1
0
18 Dec 2023
3D Medical Image Segmentation based on multi-scale MPU-Net
3D Medical Image Segmentation based on multi-scale MPU-Net
Zeqiu Yu
Shuo Han
Ziheng Song
3DV
11
3
0
11 Jul 2023
Intelligent gradient amplification for deep neural networks
Intelligent gradient amplification for deep neural networks
S. Basodi
K. Pusuluri
Xueli Xiao
Yi Pan
ODL
13
1
0
29 May 2023
Transformer Utilization in Medical Image Segmentation Networks
Transformer Utilization in Medical Image Segmentation Networks
Saikat Roy
Gregor Koehler
Michael Baumgartner
Constantin Ulrich
Jens Petersen
Fabian Isensee
Klaus Maier-Hein
ViT
MedIm
19
2
0
09 Apr 2023
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
30
0
0
11 Oct 2022
AOE-Net: Entities Interactions Modeling with Adaptive Attention
  Mechanism for Temporal Action Proposals Generation
AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation
Khoa T. Vo
Sang Truong
Kashu Yamazaki
Bhiksha Raj
Minh-Triet Tran
Ngan Le
78
26
0
05 Oct 2022
LightX3ECG: A Lightweight and eXplainable Deep Learning System for
  3-lead Electrocardiogram Classification
LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
Khiem H. Le
Hieu H. Pham
Thao BT. Nguyen
Tu Nguyen
T. Thanh
Cuong D. Do
13
34
0
25 Jul 2022
Learnable Visual Words for Interpretable Image Recognition
Learnable Visual Words for Interpretable Image Recognition
Wenxi Xiao
Zhengming Ding
Hongfu Liu
VLM
8
2
0
22 May 2022
N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and
  Salient Gene Identification
N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and Salient Gene Identification
Abbas-Ali Heydari
Oscar A. Davalos
K. Hoyer
Suzanne S. Sindi
20
2
0
08 May 2022
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
Derya Soydaner
3DV
36
149
0
27 Apr 2022
Evolving Modular Soft Robots without Explicit Inter-Module Communication
  using Local Self-Attention
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention
F. Pigozzi
Yujin Tang
Eric Medvet
David R Ha
32
22
0
13 Apr 2022
A General Survey on Attention Mechanisms in Deep Learning
A General Survey on Attention Mechanisms in Deep Learning
Gianni Brauwers
Flavius Frasincar
18
295
0
27 Mar 2022
TiSAT: Time Series Anomaly Transformer
TiSAT: Time Series Anomaly Transformer
Keval Doshi
Shatha Abudalou
Yasin Yılmaz
AI4TS
19
16
0
10 Mar 2022
Towards Controllable Agent in MOBA Games with Generative Modeling
Towards Controllable Agent in MOBA Games with Generative Modeling
Shubao Zhang
24
0
0
15 Dec 2021
Fingerprint Presentation Attack Detection by Channel-wise Feature
  Denoising
Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising
Feng Liu
Zhe Kong
Haozhe Liu
Wentian Zhang
Linlin Shen
AAML
16
23
0
15 Nov 2021
Real-time Instance Segmentation of Surgical Instruments using Attention
  and Multi-scale Feature Fusion
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion
Juan Carlos Angeles Ceron
Gilberto Ochoa-Ruiz
Leonardo Chang
Sharib Ali
16
36
0
09 Nov 2021
AEI: Actors-Environment Interaction with Adaptive Attention for Temporal
  Action Proposals Generation
AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
Khoa T. Vo
Kevin Hyekang Joo
Kashu Yamazaki
Sang Truong
Kris M. Kitani
Minh-Triet Tran
Ngan Le
EgoV
46
17
0
21 Oct 2021
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network
  Architecture for Medical Image Analysis
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis
Hossein Aboutalebi
Maya Pavlova
Hayden Gunraj
M. Shafiee
A. Sabri
Amer Alaref
Alexander Wong
15
17
0
12 Oct 2021
Weakly Supervised Attention-based Models Using Activation Maps for
  Citrus Mite and Insect Pest Classification
Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification
Edson Bollis
H. Maia
Hélio Pedrini
Sandra Avila
27
18
0
02 Oct 2021
Unlocking the potential of deep learning for marine ecology: overview,
  applications, and outlook
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
M. G. Olsen
K. Halvorsen
Lei Jiao
Kristian Muri Knausgård
A. H. Martin
M. Moyano
Rebekah A. Oomen
J. H. Rasmussen
T. K. Sørdalen
Susanna Huneide Thorbjørnsen
14
27
0
29 Sep 2021
Deep Sequence Modeling: Development and Applications in Asset Pricing
Deep Sequence Modeling: Development and Applications in Asset Pricing
Lingbo Cong
Ke Tang
Jingyuan Wang
Yang Zhang
16
15
0
20 Aug 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models
  Smaller, Faster, and Better
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
Gaurav Menghani
VLM
MedIm
21
360
0
16 Jun 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
11
568
0
27 May 2021
Literature review on vulnerability detection using NLP technology
Literature review on vulnerability detection using NLP technology
Jiajie Wu
37
14
0
23 Apr 2021
GraphTheta: A Distributed Graph Neural Network Learning System With
  Flexible Training Strategy
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
Yongchao Liu
Houyi Li
Guowei Zhang
Xintan Zeng
Yongyong Li
...
Peng Zhang
Zhao Li
Kefeng Deng
Changhua He
Wenguang Chen
GNN
42
11
0
21 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning
Review of end-to-end speech synthesis technology based on deep learning
Zhaoxi Mu
Xinyu Yang
Yizhuo Dong
AuLLM
ALM
13
24
0
20 Apr 2021
Deep Learning for Android Malware Defenses: a Systematic Literature
  Review
Deep Learning for Android Malware Defenses: a Systematic Literature Review
Yue Liu
C. Tantithamthavorn
Li Li
Yepang Liu
AAML
19
77
0
09 Mar 2021
Exploring Transformers in Natural Language Generation: GPT, BERT, and
  XLNet
Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet
M. O. Topal
Anil Bas
Imke van Heerden
LLMAG
AI4CE
16
88
0
16 Feb 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
225
2,427
0
04 Jan 2021
This Looks Like That, Because ... Explaining Prototypes for
  Interpretable Image Recognition
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition
Meike Nauta
Annemarie Jutte
Jesper C. Provoost
C. Seifert
FAtt
14
65
0
05 Nov 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
20
79
0
17 Sep 2020
An Overview of Neural Network Compression
An Overview of Neural Network Compression
James OÑeill
AI4CE
24
98
0
05 Jun 2020
A Survey of Deep Learning Techniques for Neural Machine Translation
A Survey of Deep Learning Techniques for Neural Machine Translation
Shu Yang
Yuxin Wang
X. Chu
VLM
AI4TS
AI4CE
13
138
0
18 Feb 2020
Converse Attention Knowledge Transfer for Low-Resource Named Entity
  Recognition
Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition
Shengfei Lyu
Linghao Sun
Huixiong Yi
Yong-jin Liu
Huanhuan Chen
Chun Miao
10
0
0
04 Jun 2019
Learn To Pay Attention
Learn To Pay Attention
Saumya Jetley
Nicholas A. Lord
Namhoon Lee
Philip H. S. Torr
48
436
0
06 Apr 2018
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
214
7,687
0
17 Aug 2015
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