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Pervasive Attention: 2D Convolutional Neural Networks for
  Sequence-to-Sequence Prediction

Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction

11 August 2018
Maha Elbayad
Laurent Besacier
Jakob Verbeek
    HAI
ArXivPDFHTML

Papers citing "Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction"

13 / 13 papers shown
Title
Reduced Order Probabilistic Emulation for Physics-Based Thermosphere
  Models
Reduced Order Probabilistic Emulation for Physics-Based Thermosphere Models
R. Licata
P. Mehta
13
9
0
08 Nov 2022
Predicting Customer Lifetime Value in Free-to-Play Games
Predicting Customer Lifetime Value in Free-to-Play Games
Paolo Burelli
29
16
0
06 Sep 2022
ProtoTEx: Explaining Model Decisions with Prototype Tensors
ProtoTEx: Explaining Model Decisions with Prototype Tensors
Anubrata Das
Chitrank Gupta
Venelin Kovatchev
Matthew Lease
Junjie Li
31
26
0
11 Apr 2022
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path
  Prediction
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction
Matías Mendieta
Hamed Tabkhi
22
17
0
26 May 2020
Efficient Wait-k Models for Simultaneous Machine Translation
Efficient Wait-k Models for Simultaneous Machine Translation
Maha Elbayad
Laurent Besacier
Jakob Verbeek
VLM
24
77
0
18 May 2020
Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery
  in Low-resource Settings
Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings
Marcely Zanon Boito
Aline Villavicencio
Laurent Besacier
17
8
0
29 Jun 2019
An Attempt towards Interpretable Audio-Visual Video Captioning
An Attempt towards Interpretable Audio-Visual Video Captioning
Yapeng Tian
Chenxiao Guan
Justin Goodman
Marc Moore
Chenliang Xu
36
20
0
07 Dec 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
AIMat
56
185
0
14 Nov 2017
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
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
269
2,552
0
25 Jan 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
7,926
0
17 Aug 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
267
13,368
0
25 Aug 2014
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