4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs

Uloženo v:
Podrobná bibliografie
Vydáno v:Neurocomputing (Amsterdam) Ročník 568; s. 127058
Hlavní autoři: Boccato, Tommaso, Ferrante, Matteo, Duggento, Andrea, Toschi, Nicola
Médium: Journal Article
Jazyk:angličtina
Vydáno: 01.02.2024
ISSN:0925-2312
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
ArticleNumber 127058
Author Toschi, Nicola
Duggento, Andrea
Ferrante, Matteo
Boccato, Tommaso
Author_xml – sequence: 1
  givenname: Tommaso
  orcidid: 0000-0003-3026-5221
  surname: Boccato
  fullname: Boccato, Tommaso
– sequence: 2
  givenname: Matteo
  orcidid: 0000-0002-3481-0832
  surname: Ferrante
  fullname: Ferrante, Matteo
– sequence: 3
  givenname: Andrea
  surname: Duggento
  fullname: Duggento, Andrea
– sequence: 4
  givenname: Nicola
  orcidid: 0000-0003-1929-5833
  surname: Toschi
  fullname: Toschi, Nicola
BookMark eNotkMtqwzAURLVIoUnaP-hCP2BXTz-6C6EvCHTT0qWQrq5SBccOkgv13zcmWQ0zAzNwVmTRDz0S8sBZyRmvHg9lj78wHEvBhCy5qJluFmTJWqELIbm4JaucD4zxmot2SZz6tsk_0Q1N2NkJU-z3NI_JjrifaBgSxRAiROxHek5jP_dDoDa5ePYpdhM9v506_KM-JoQRPbUwQReB7pM9_eQ7chNsl_H-qmvy9fL8uX0rdh-v79vNrgChqrGoFejKSeuZkwyr2jLhdANBoQYfuPdYOau8hLaprZYOOAelWsBaY-PaINdEXXYhDTknDOaU4tGmyXBmZjbmYC5szMzGXNjIf2xaYJU
Cites_doi 10.1371/journal.pone.0149874
10.1103/RevModPhys.74.47
10.1016/j.chaos.2015.11.029
10.1016/j.procs.2019.09.165
10.7554/eLife.57443
10.1016/j.physleta.2004.12.078
10.1371/journal.pcbi.1001066
10.1016/j.protcy.2012.02.062
10.1016/j.simpa.2021.100193
10.1038/s41467-018-04316-3
ContentType Journal Article
DBID AAYXX
CITATION
DOI 10.1016/j.neucom.2023.127058
DatabaseName CrossRef
DatabaseTitle CrossRef
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
ExternalDocumentID 10_1016_j_neucom_2023_127058
GroupedDBID ---
--K
--M
.DC
.~1
0R~
123
1B1
1~.
1~5
29N
4.4
457
4G.
53G
5VS
7-5
71M
8P~
9DU
9JM
9JN
AABNK
AAEDT
AAEDW
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AAQXK
AATTM
AAXKI
AAXLA
AAXUO
AAYFN
AAYWO
AAYXX
ABBOA
ABCQJ
ABFNM
ABJNI
ABMAC
ABWVN
ABXDB
ACDAQ
ACGFS
ACLOT
ACNNM
ACRLP
ACRPL
ACVFH
ACZNC
ADBBV
ADCNI
ADEZE
ADJOM
ADMUD
ADNMO
AEBSH
AEIPS
AEKER
AENEX
AEUPX
AFJKZ
AFPUW
AFTJW
AFXIZ
AGHFR
AGQPQ
AGUBO
AGWIK
AGYEJ
AHHHB
AHZHX
AIALX
AIEXJ
AIGII
AIIUN
AIKHN
AITUG
AKBMS
AKRWK
AKYEP
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
ANKPU
AOUOD
APXCP
ASPBG
AVWKF
AXJTR
AZFZN
BKOJK
BLXMC
CITATION
CS3
DU5
EBS
EFJIC
EFKBS
EFLBG
EJD
EO8
EO9
EP2
EP3
F5P
FDB
FEDTE
FGOYB
FIRID
FNPLU
FYGXN
G-Q
GBLVA
GBOLZ
HLZ
HVGLF
HZ~
IHE
J1W
KOM
LG9
M41
MO0
MOBAO
N9A
O-L
O9-
OAUVE
OZT
P-8
P-9
P2P
PC.
Q38
R2-
ROL
RPZ
SBC
SDF
SDG
SDP
SES
SEW
SPC
SPCBC
SSN
SSV
SSZ
T5K
WUQ
XPP
ZMT
~G-
~HD
ID FETCH-LOGICAL-c246t-74c56b3ad0b30e67a02b58cf4e5cdf1dde6ba4d3c987a53bc11c449ce75e8b9f3
ISICitedReferencesCount 3
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001127872300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0925-2312
IngestDate Sat Nov 29 07:12:40 EST 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c246t-74c56b3ad0b30e67a02b58cf4e5cdf1dde6ba4d3c987a53bc11c449ce75e8b9f3
ORCID 0000-0003-1929-5833
0000-0002-3481-0832
0000-0003-3026-5221
OpenAccessLink https://www.sciencedirect.com/science/article/pii/S0925231223011815
ParticipantIDs crossref_primary_10_1016_j_neucom_2023_127058
PublicationCentury 2000
PublicationDate 2024-02-00
PublicationDateYYYYMMDD 2024-02-01
PublicationDate_xml – month: 02
  year: 2024
  text: 2024-02-00
PublicationDecade 2020
PublicationTitle Neurocomputing (Amsterdam)
PublicationYear 2024
References Scheffer (10.1016/j.neucom.2023.127058_b9) 2020; 9
Healy (10.1016/j.neucom.2023.127058_b29) 2002
Albert (10.1016/j.neucom.2023.127058_b16) 2002; 74
Tamassia (10.1016/j.neucom.2023.127058_b28) 2016
Varshney (10.1016/j.neucom.2023.127058_b8) 2011; 7
Wortsman (10.1016/j.neucom.2023.127058_b22) 2019
Xie (10.1016/j.neucom.2023.127058_b21) 2019
10.1016/j.neucom.2023.127058_b12
Erkaymaz (10.1016/j.neucom.2023.127058_b13) 2016; 83
Annunziato (10.1016/j.neucom.2023.127058_b15) 2007; vol. 4733
Zoph (10.1016/j.neucom.2023.127058_b24) 2017
Erkaymaz (10.1016/j.neucom.2023.127058_b14) 2017; 311
He (10.1016/j.neucom.2023.127058_b5) 2016
Simonyan (10.1016/j.neucom.2023.127058_b4) 2014
Roberts (10.1016/j.neucom.2023.127058_b23) 2019
Kingma (10.1016/j.neucom.2023.127058_b6) 2014
Simard (10.1016/j.neucom.2023.127058_b10) 2005; 336
Monteiro (10.1016/j.neucom.2023.127058_b2) 2016; 11
(10.1016/j.neucom.2023.127058_b19) 2019
He (10.1016/j.neucom.2023.127058_b30) 2015
Erdős (10.1016/j.neucom.2023.127058_b1) 1960; 5
Paszke (10.1016/j.neucom.2023.127058_b27) 2019
Sutskever (10.1016/j.neucom.2023.127058_b32) 2013; vol. 28
Kingma (10.1016/j.neucom.2023.127058_b31) 2015
Stier (10.1016/j.neucom.2023.127058_b3) 2022; 11
Gu (10.1016/j.neucom.2023.127058_b26) 2021
Stier (10.1016/j.neucom.2023.127058_b20) 2019; 159
Liu (10.1016/j.neucom.2023.127058_b25) 2019
Erkaymaz (10.1016/j.neucom.2023.127058_b11) 2012; 1
Mocanu (10.1016/j.neucom.2023.127058_b17) 2018; 9
You (10.1016/j.neucom.2023.127058_b18) 2020
Vaswani (10.1016/j.neucom.2023.127058_b7) 2017
References_xml – volume: 11
  issue: 2
  year: 2016
  ident: 10.1016/j.neucom.2023.127058_b2
  article-title: A model for improving the learning curves of artificial neural networks
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0149874
– volume: 74
  start-page: 47
  year: 2002
  ident: 10.1016/j.neucom.2023.127058_b16
  article-title: Statistical mechanics of complex networks
  publication-title: Rev. Modern Phys.
  doi: 10.1103/RevModPhys.74.47
– year: 2016
  ident: 10.1016/j.neucom.2023.127058_b28
– start-page: 12306
  year: 2021
  ident: 10.1016/j.neucom.2023.127058_b26
  article-title: DOTS: Decoupling operation and topology in differentiable architecture search
– volume: 83
  start-page: 178
  year: 2016
  ident: 10.1016/j.neucom.2023.127058_b13
  article-title: Impact of small-world network topology on the conventional artificial neural network for the diagnosis of diabetes
  publication-title: Chaos Solitons Fractals
  doi: 10.1016/j.chaos.2015.11.029
– ident: 10.1016/j.neucom.2023.127058_b12
– year: 2017
  ident: 10.1016/j.neucom.2023.127058_b24
  article-title: Neural architecture search with reinforcement learning
– year: 2019
  ident: 10.1016/j.neucom.2023.127058_b19
– volume: 159
  start-page: 107
  year: 2019
  ident: 10.1016/j.neucom.2023.127058_b20
  article-title: Structural analysis of sparse neural networks
  publication-title: Procedia Comput. Sci.
  doi: 10.1016/j.procs.2019.09.165
– year: 2019
  ident: 10.1016/j.neucom.2023.127058_b25
  article-title: DARTS: Differentiable architecture search
– volume: 311
  start-page: 22
  year: 2017
  ident: 10.1016/j.neucom.2023.127058_b14
  article-title: Performance of small-world feedforward neural networks for the diagnosis of diabetes
  publication-title: Appl. Math. Comput.
– volume: vol. 28
  start-page: 1139
  year: 2013
  ident: 10.1016/j.neucom.2023.127058_b32
  article-title: On the importance of initialization and momentum in deep learning
– volume: 9
  year: 2020
  ident: 10.1016/j.neucom.2023.127058_b9
  article-title: A connectome and analysis of the adult Drosophila central brain
  publication-title: eLife
  doi: 10.7554/eLife.57443
– volume: 336
  start-page: 8
  issue: 1
  year: 2005
  ident: 10.1016/j.neucom.2023.127058_b10
  article-title: Fastest learning in small-world neural networks
  publication-title: Phys. Lett. A
  doi: 10.1016/j.physleta.2004.12.078
– year: 2020
  ident: 10.1016/j.neucom.2023.127058_b18
– year: 2014
  ident: 10.1016/j.neucom.2023.127058_b4
– year: 2019
  ident: 10.1016/j.neucom.2023.127058_b23
– volume: 5
  start-page: 17
  issue: 1
  year: 1960
  ident: 10.1016/j.neucom.2023.127058_b1
  article-title: On the evolution of random graphs
  publication-title: Publ. Math. Inst. Hung. Acad. Sci.
– year: 2019
  ident: 10.1016/j.neucom.2023.127058_b22
  article-title: Discovering neural wirings
– year: 2015
  ident: 10.1016/j.neucom.2023.127058_b31
  article-title: Adam: A method for stochastic optimization
– start-page: 8024
  year: 2019
  ident: 10.1016/j.neucom.2023.127058_b27
  article-title: PyTorch: An imperative style, high-performance deep learning library
– volume: 7
  issue: 2
  year: 2011
  ident: 10.1016/j.neucom.2023.127058_b8
  article-title: Structural properties of the caenorhabditis elegans neuronal network
  publication-title: PLoS Comput. Biol.
  doi: 10.1371/journal.pcbi.1001066
– start-page: 1284
  year: 2019
  ident: 10.1016/j.neucom.2023.127058_b21
  article-title: Exploring randomly wired neural networks for image recognition
– start-page: 1026
  year: 2015
  ident: 10.1016/j.neucom.2023.127058_b30
  article-title: Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification
– start-page: 770
  year: 2016
  ident: 10.1016/j.neucom.2023.127058_b5
  article-title: Deep residual learning for image recognition
– year: 2014
  ident: 10.1016/j.neucom.2023.127058_b6
  article-title: Auto-encoding variational Bayes
– volume: 1
  start-page: 291
  year: 2012
  ident: 10.1016/j.neucom.2023.127058_b11
  article-title: Performance analysis of a feed-forward artifical neural network with small-world topology
  publication-title: Proc. Technol.
  doi: 10.1016/j.protcy.2012.02.062
– year: 2017
  ident: 10.1016/j.neucom.2023.127058_b7
  article-title: Attention is all you need
– volume: 11
  year: 2022
  ident: 10.1016/j.neucom.2023.127058_b3
  article-title: Deepstruct – linking deep learning and graph theory
  publication-title: Softw. Impacts
  doi: 10.1016/j.simpa.2021.100193
– volume: vol. 4733
  start-page: 194
  year: 2007
  ident: 10.1016/j.neucom.2023.127058_b15
  article-title: Evolving complex neural networks
– volume: 9
  start-page: 2383
  issue: 1
  year: 2018
  ident: 10.1016/j.neucom.2023.127058_b17
  article-title: Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
  publication-title: Nature Commun.
  doi: 10.1038/s41467-018-04316-3
– start-page: 16
  year: 2002
  ident: 10.1016/j.neucom.2023.127058_b29
  article-title: How to layer a directed acyclic graph
SSID ssj0017129
Score 2.42717
SourceID crossref
SourceType Index Database
StartPage 127058
Title 4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs
Volume 568
WOSCitedRecordID wos001127872300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVESC
  databaseName: Elsevier SD Freedom Collection Journals 2021
  issn: 0925-2312
  databaseCode: AIEXJ
  dateStart: 19950101
  customDbUrl:
  isFulltext: true
  dateEnd: 99991231
  titleUrlDefault: https://www.sciencedirect.com
  omitProxy: false
  ssIdentifier: ssj0017129
  providerName: Elsevier
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3LbtNAFB2FlgUbylPQApoFu8jVeDwT2-zSUgQsKhZBZGfNE6UidpU4Vfof_WDmHZdKiC7YWJFjjayck3vH1-eeC8B7kwYU1lRmSOcsI0oo85eqZFZgjZiwJlpCuGET5fl5NZ_X30ajm9gLc_WrbNtqu60v_yvU5pwB27bO3gPutKg5YT4b0M3RwG6O_wQ8-WENFF3DuW1UuXZeg-O1d6H18kzlfCOsCiBOiHBygBVf2CZ8W_BwSnO1HfuMZzalTFwL64ftDK7Xwy2ts_cQbjhEKDtMl9Z9QVqqpTLDSWdAdCObxrNuuWTrblDJXll4fedQ36v0zcfNT9v41SXhZUohs848lC8Sk9mwdoFJlDvvipCYZmaHeSseUz9nJ0RU-2bcm7vfCfa-7nBx3KqNVf7YQfDHu8tve2v_kfOSEjGK3C4av0pjV2n8Kg_APi5pbcL9_vTL2fxrejtV5th7OIa7jy2ZTjd4924GW57B3mX2BDwODx1w6snyFIxU-wwcxIEeMMT354A77nyAU7hjDozMgYY5MDEHRubATsMBc2BgDozMgYE50DPnBfj-6Wx2-jkLQzgygcmkz0oi6IQXTCJeIDUpGcKcVkITRYXUucmOE86ILERdlYwWXOS5IKQWqqSq4rUuXoK9tmvVKwAJqRgrlEJKI8KVtD3OBGMkNaoILeRrkMXfqbn0XivN3_A5vOf1R-DRjoRvwF6_2qi34KG46hfr1bsA8m-27H89
linkProvider Elsevier
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=4Ward%3A+A+relayering+strategy+for+efficient+training+of+arbitrarily+complex+directed+acyclic+graphs&rft.jtitle=Neurocomputing+%28Amsterdam%29&rft.au=Boccato%2C+Tommaso&rft.au=Ferrante%2C+Matteo&rft.au=Duggento%2C+Andrea&rft.au=Toschi%2C+Nicola&rft.date=2024-02-01&rft.issn=0925-2312&rft.volume=568&rft.spage=127058&rft_id=info:doi/10.1016%2Fj.neucom.2023.127058&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_neucom_2023_127058
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0925-2312&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0925-2312&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0925-2312&client=summon