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Attention Is All You Need

Attention Is All You Need

12 June 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
    3DV
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Papers citing "Attention Is All You Need"

17 / 19,017 papers shown
Title
Recent Trends in Deep Learning Based Natural Language Processing
Recent Trends in Deep Learning Based Natural Language Processing
Tom Young
Devamanyu Hazarika
Soujanya Poria
Min Zhang
37
2,824
0
09 Aug 2017
Dual Supervised Learning
Dual Supervised Learning
Yingce Xia
Tao Qin
Wei-neng Chen
Jiang Bian
Nenghai Yu
Tie-Yan Liu
SSL
32
143
0
03 Jul 2017
VAIN: Attentional Multi-agent Predictive Modeling
VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
GNN
41
237
0
19 Jun 2017
One Model To Learn Them All
One Model To Learn Them All
Lukasz Kaiser
Aidan Gomez
Noam M. Shazeer
Ashish Vaswani
Niki Parmar
Llion Jones
Jakob Uszkoreit
VLM
ViT
30
333
0
16 Jun 2017
Depthwise Separable Convolutions for Neural Machine Translation
Depthwise Separable Convolutions for Neural Machine Translation
Lukasz Kaiser
Aidan Gomez
François Chollet
41
278
0
09 Jun 2017
Reinforced Mnemonic Reader for Machine Reading Comprehension
Reinforced Mnemonic Reader for Machine Reading Comprehension
Minghao Hu
Yuxing Peng
Zhen Huang
Xipeng Qiu
Furu Wei
Ming Zhou
RALM
AIMat
19
69
0
08 May 2017
Japanese Sentiment Classification using a Tree-Structured Long
  Short-Term Memory with Attention
Japanese Sentiment Classification using a Tree-Structured Long Short-Term Memory with Attention
R. Miyazaki
Mamoru Komachi
38
2
0
04 Apr 2017
Improving Neural Machine Translation with Conditional Sequence
  Generative Adversarial Nets
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets
Zhen-Le Yang
Wei Chen
Feng Wang
Bo Xu
GAN
AI4CE
36
169
0
15 Mar 2017
Online Meta-learning by Parallel Algorithm Competition
Online Meta-learning by Parallel Algorithm Competition
Stefan Elfwing
E. Uchibe
Kenji Doya
31
22
0
24 Feb 2017
Symbolic, Distributed and Distributional Representations for Natural
  Language Processing in the Era of Deep Learning: a Survey
Symbolic, Distributed and Distributional Representations for Natural Language Processing in the Era of Deep Learning: a Survey
L. Ferrone
Fabio Massimo Zanzotto
39
37
0
02 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,505
0
25 Jan 2017
Boosting Neural Machine Translation
Boosting Neural Machine Translation
Dakun Zhang
Jungi Kim
Josep Crego
Jean Senellart
AI4CE
23
26
0
19 Dec 2016
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive
  Model
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model
Marcella Cornia
Lorenzo Baraldi
G. Serra
Rita Cucchiara
40
548
0
29 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
Quantifying the probable approximation error of probabilistic inference
  programs
Quantifying the probable approximation error of probabilistic inference programs
Marco F. Cusumano-Towner
Vikash K. Mansinghka
33
7
0
31 May 2016
Impact of Power System Partitioning on the Efficiency of Distributed
  Multi-Step Optimization
Impact of Power System Partitioning on the Efficiency of Distributed Multi-Step Optimization
Dongliang Chen
A. Bucchiarone
Zhihan Lv
23
12
0
31 May 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
220
7,930
0
17 Aug 2015
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