{"id":"https://openalex.org/W4304080818","doi":"https://doi.org/10.1145/3503161.3546972","title":"Memory Networks","display_name":"Memory Networks","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304080818","doi":"https://doi.org/10.1145/3503161.3546972"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3546972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3546972","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065891142","display_name":"Federico Becattini","orcid":"https://orcid.org/0000-0003-2537-2700"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federico Becattini","raw_affiliation_strings":["University of Florence, Florence, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067727119","display_name":"Tiberio Uricchio","orcid":"https://orcid.org/0000-0003-1025-4541"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Tiberio Uricchio","raw_affiliation_strings":["University of Florence, Florence, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2359,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58145808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"7380","last_page":"7382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8530343770980835},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5982363224029541},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5501563549041748},{"id":"https://openalex.org/keywords/auxiliary-memory","display_name":"Auxiliary memory","score":0.4872838258743286},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.48160693049430847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43985825777053833},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4361156225204468},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.12554702162742615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8530343770980835},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5982363224029541},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5501563549041748},{"id":"https://openalex.org/C82687282","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Auxiliary memory","level":2,"score":0.4872838258743286},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.48160693049430847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43985825777053833},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4361156225204468},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.12554702162742615},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3503161.3546972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3546972","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1261289","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1261289","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:u-pad.unimc.it:11393/313530","is_oa":false,"landing_page_url":"https://hdl.handle.net/11393/313530","pdf_url":null,"source":{"id":"https://openalex.org/S4377196455","display_name":"U-PAD Unimc - Open Digital Publications (University of Macerata)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I55133342","host_organization_name":"University of Macerata","host_organization_lineage":["https://openalex.org/I55133342"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:usiena-air.unisi.it:11365/1225616","is_oa":false,"landing_page_url":"https://hdl.handle.net/11365/1225616","pdf_url":null,"source":{"id":"https://openalex.org/S4377196319","display_name":"Use Siena air (University of Siena)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102064193","host_organization_name":"University of Siena","host_organization_lineage":["https://openalex.org/I102064193"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4397263494","display_name":null,"funder_award_id":"951911","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1905882502","https://openalex.org/W1933349210","https://openalex.org/W2745461083","https://openalex.org/W2963471260","https://openalex.org/W3035339264","https://openalex.org/W3041350035","https://openalex.org/W3113321693","https://openalex.org/W3135326696","https://openalex.org/W4236965008"],"related_works":["https://openalex.org/W2902723393","https://openalex.org/W2230691193","https://openalex.org/W4248389398","https://openalex.org/W2800726910","https://openalex.org/W2247596074","https://openalex.org/W2386387936","https://openalex.org/W4238075012","https://openalex.org/W3107474891","https://openalex.org/W2367198960","https://openalex.org/W4310713427"],"abstract_inverted_index":{"Memory":[0,50],"Networks":[1],"are":[2],"models":[3,119],"equipped":[4],"with":[5,59,66],"a":[6,63,125],"storage":[7,38,55],"component":[8],"where":[9],"information":[10],"can":[11,120],"generally":[12],"be":[13,121],"written":[14],"and":[15,40,56,83,101,116,154],"successively":[16],"retrieved":[17],"for":[18,41],"any":[19],"purpose.":[20],"Simple":[21],"forms":[22],"of":[23,62,79,93,109,141],"memory":[24,110],"networks":[25,31,100],"like":[26],"the":[27,60,94,106,150],"popular":[28],"recurrent":[29,98],"neural":[30,99,112],"(RNN),":[32],"LSTMs":[33],"or":[34],"GRUs,":[35],"have":[36],"limited":[37],"capabilities":[39],"specific":[42],"tasks.":[43],"In":[44],"contrast,":[45],"recent":[46],"works,":[47],"starting":[48,145],"from":[49,128],"Augmented":[51],"Neural":[52],"Networks,":[53],"overcome":[54],"computational":[57],"limitations":[58],"addition":[61],"controller":[64],"network":[65],"an":[67,77,91,134,138],"external":[68],"element-wise":[69],"addressable":[70],"memory.":[71],"This":[72],"tutorial":[73],"aims":[74],"at":[75],"providing":[76],"overview":[78],"such":[80,118],"memory-based":[81],"techniques":[82],"their":[84,114],"applications":[85],"in":[86,149],"multimedia.":[87],"It":[88],"will":[89,102],"cover":[90],"explanation":[92],"basic":[95],"concepts":[96],"behind":[97],"then":[103],"delve":[104],"into":[105],"advanced":[107],"details":[108],"augmented":[111],"networks,":[113],"structure":[115],"how":[117],"trained.":[122],"We":[123],"target":[124],"broad":[126],"audience,":[127],"beginners":[129],"to":[130,137,146],"experienced":[131],"researchers,":[132],"offering":[133],"in-depth":[135],"introduction":[136],"important":[139],"crop":[140],"literature":[142],"which":[143],"is":[144],"gain":[147],"interest":[148],"multimedia,":[151],"computer":[152],"vision":[153],"natural":[155],"language":[156],"processing":[157],"communities.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2022-10-10T00:00:00"}
