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Multi network InfoMax: A pre-training method involving graph
  convolutional networks
v1v2 (latest)

Multi network InfoMax: A pre-training method involving graph convolutional networks

1 November 2021
Usman Mahmood
Z. Fu
Vince D. Calhoun
Sergey Plis
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Multi network InfoMax: A pre-training method involving graph convolutional networks"

21 / 21 papers shown
Title
A deep learning model for data-driven discovery of functional
  connectivity
A deep learning model for data-driven discovery of functional connectivity
Usman Mahmood
Z. Fu
Vince D. Calhoun
Sergey Plis
GNN
38
23
0
07 Dec 2021
Whole MILC: generalizing learned dynamics across tasks, datasets, and
  populations
Whole MILC: generalizing learned dynamics across tasks, datasets, and populations
Usman Mahmood
Md. Mahfuzur Rahman
A. Fedorov
N. Lewis
Z. Fu
Vince D. Calhoun
Sergey Plis
51
22
0
29 Jul 2020
Deep Transfer Learning For Whole-Brain fMRI Analyses
Deep Transfer Learning For Whole-Brain fMRI Analyses
A. Thomas
K. Müller
Wojciech Samek
AI4CE
34
24
0
02 Jul 2019
Unsupervised State Representation Learning in Atari
Unsupervised State Representation Learning in Atari
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
109
255
0
19 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
195
1,481
0
03 Jun 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
SSL
144
1,433
0
22 May 2019
Graph U-Nets
Graph U-Nets
Hongyang Gao
Shuiwang Ji
AI4CESSLSSegGNN
132
1,095
0
11 May 2019
1D Convolutional Neural Networks and Applications: A Survey
1D Convolutional Neural Networks and Applications: A Survey
S. Kiranyaz
Onur Avcı
Osama Abdeljaber
T. Ince
Moncef Gabbouj
D. Inman
3DV
85
1,943
0
09 May 2019
Understanding Attention and Generalization in Graph Neural Networks
Understanding Attention and Generalization in Graph Neural Networks
Boris Knyazev
Graham W. Taylor
Mohamed R. Amer
GNN
175
343
0
08 May 2019
Speech Model Pre-training for End-to-End Spoken Language Understanding
Speech Model Pre-training for End-to-End Spoken Language Understanding
Loren Lugosch
Mirco Ravanelli
Patrick Ignoto
Vikrant Singh Tomar
Yoshua Bengio
SyDaAuLLM
77
355
0
07 Apr 2019
Learning Speaker Representations with Mutual Information
Learning Speaker Representations with Mutual Information
Mirco Ravanelli
Yoshua Bengio
SSLDRL
86
91
0
01 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,324
0
11 Oct 2018
Deep Graph Infomax
Deep Graph Infomax
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
130
2,399
0
27 Sep 2018
Learning deep representations by mutual information estimation and
  maximization
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSLDRL
355
2,675
0
20 Aug 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
356
10,369
0
10 Jul 2018
Hyperspherical Variational Auto-Encoders
Hyperspherical Variational Auto-Encoders
Tim R. Davidson
Luca Falorsi
Nicola De Cao
Thomas Kipf
Jakub M. Tomczak
DRLBDL
120
384
0
03 Apr 2018
Learning Neural Representations of Human Cognition across Many fMRI
  Studies
Learning Neural Representations of Human Cognition across Many fMRI Studies
G. Flandin
D. Handwerker
Michael Hanke
D. Keator
Thomas E. Nichols
AI4CE
51
45
0
31 Oct 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via
  Ranking
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski
Stephan Günnemann
BDL
94
648
0
12 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
808
132,725
0
12 Jun 2017
Order Matters: Sequence to sequence for sets
Order Matters: Sequence to sequence for sets
Oriol Vinyals
Samy Bengio
M. Kudlur
BDL
215
953
0
19 Nov 2015
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
347
3,291
0
17 Nov 2015
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