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Convolution, attention and structure embedding
v1v2v3v4v5 (latest)

Convolution, attention and structure embedding

3 May 2019
J. Andreoli
ArXiv (abs)PDFHTML

Papers citing "Convolution, attention and structure embedding"

11 / 11 papers shown
Title
GOAL: A Generalist Combinatorial Optimization Agent Learner
GOAL: A Generalist Combinatorial Optimization Agent Learner
Darko Drakulic
Sofia Michel
J. Andreoli
91
10
0
21 Jun 2024
On the Relationship between Self-Attention and Convolutional Layers
On the Relationship between Self-Attention and Convolutional Layers
Jean-Baptiste Cordonnier
Andreas Loukas
Martin Jaggi
116
535
0
08 Nov 2019
Pervasive Attention: 2D Convolutional Neural Networks for
  Sequence-to-Sequence Prediction
Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
Maha Elbayad
Laurent Besacier
Jakob Verbeek
HAI
61
82
0
11 Aug 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
129
1,233
0
22 Mar 2018
Introduction to Tensor Decompositions and their Applications in Machine
  Learning
Introduction to Tensor Decompositions and their Applications in Machine Learning
Stephan Rabanser
Oleksandr Shchur
Stephan Günnemann
AI4CE
52
207
0
29 Nov 2017
Position-based Content Attention for Time Series Forecasting with
  Sequence-to-sequence RNNs
Position-based Content Attention for Time Series Forecasting with Sequence-to-sequence RNNs
Yagmur Gizem Cinar
Hamid Mirisaee
Parantapa Goswami
Éric Gaussier
Ali Aït-Bachir
V. Strijov
AIMatAI4TS
49
74
0
29 Mar 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
194
4,844
0
17 Mar 2017
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
371
7,680
0
30 Jun 2016
A guide to convolution arithmetic for deep learning
A guide to convolution arithmetic for deep learning
Vincent Dumoulin
Francesco Visin
FAtt3DHHAI
69
1,544
0
23 Mar 2016
Understanding Deep Convolutional Networks
Understanding Deep Convolutional Networks
S. Mallat
FAttAI4CE
182
642
0
19 Jan 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
570
8,017
0
13 Jun 2015
1