{"id":"https://openalex.org/W3004494783","doi":"https://doi.org/10.1109/icip42928.2021.9506501","title":"Multi-Task Learning By A Top-Down Control Network","display_name":"Multi-Task Learning By A Top-Down Control Network","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3004494783","doi":"https://doi.org/10.1109/icip42928.2021.9506501","mag":"3004494783"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.03335","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011414573","display_name":"Hila Levi","orcid":null},"institutions":[{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"education","lineage":["https://openalex.org/I53964585"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Hila Levi","raw_affiliation_strings":["The Weizmann Institute of Science,Dept. of Computer Science and Applied Mathematics,Israel","Weizmann Institute"],"affiliations":[{"raw_affiliation_string":"The Weizmann Institute of Science,Dept. of Computer Science and Applied Mathematics,Israel","institution_ids":["https://openalex.org/I53964585"]},{"raw_affiliation_string":"Weizmann Institute","institution_ids":["https://openalex.org/I53964585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076637753","display_name":"Shimon Ullman","orcid":"https://orcid.org/0000-0003-4331-298X"},"institutions":[{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"education","lineage":["https://openalex.org/I53964585"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Shimon Ullman","raw_affiliation_strings":["The Weizmann Institute of Science,Dept. of Computer Science and Applied Mathematics,Israel","Weizmann Institute of Science, Rehovot, Israel"],"affiliations":[{"raw_affiliation_string":"The Weizmann Institute of Science,Dept. of Computer Science and Applied Mathematics,Israel","institution_ids":["https://openalex.org/I53964585"]},{"raw_affiliation_string":"Weizmann Institute of Science, Rehovot, Israel","institution_ids":["https://openalex.org/I53964585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011414573"],"corresponding_institution_ids":["https://openalex.org/I53964585"],"apc_list":null,"apc_paid":null,"fwci":0.2796,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60701097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2553","last_page":"2557"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9972000122070312,"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/interpretability","display_name":"Interpretability","score":0.90500807762146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8103288412094116},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6322377920150757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5481113791465759},{"id":"https://openalex.org/keywords/branching","display_name":"Branching (polymer chemistry)","score":0.49351251125335693},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4713427722454071},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4549448490142822},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4199768900871277},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4100307822227478},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3333559036254883},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1409151554107666}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.90500807762146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103288412094116},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6322377920150757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5481113791465759},{"id":"https://openalex.org/C206175624","wikidata":"https://www.wikidata.org/wiki/Q595731","display_name":"Branching (polymer chemistry)","level":2,"score":0.49351251125335693},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4713427722454071},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4549448490142822},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4199768900871277},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4100307822227478},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3333559036254883},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1409151554107666},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icip42928.2021.9506501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2002.03335","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.03335","pdf_url":"https://arxiv.org/pdf/2002.03335","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3004494783","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2002.03335.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2002.03335","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2002.03335","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.17023/zhwp-rc48","is_oa":true,"landing_page_url":"https://doi.org/10.17023/zhwp-rc48","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.03335","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.03335","pdf_url":"https://arxiv.org/pdf/2002.03335","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3004494783.pdf","grobid_xml":"https://content.openalex.org/works/W3004494783.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W14333344","https://openalex.org/W1708732123","https://openalex.org/W1834627138","https://openalex.org/W1992007613","https://openalex.org/W2024938108","https://openalex.org/W2082556599","https://openalex.org/W2117130368","https://openalex.org/W2149985837","https://openalex.org/W2151823817","https://openalex.org/W2221625691","https://openalex.org/W2307770531","https://openalex.org/W2426267443","https://openalex.org/W2561715562","https://openalex.org/W2570343428","https://openalex.org/W2624871570","https://openalex.org/W2767434619","https://openalex.org/W2769389383","https://openalex.org/W2884886306","https://openalex.org/W2890538051","https://openalex.org/W2907143950","https://openalex.org/W2912497767","https://openalex.org/W2913340405","https://openalex.org/W2922913792","https://openalex.org/W2951941802","https://openalex.org/W2962864421","https://openalex.org/W2963150697","https://openalex.org/W2963396070","https://openalex.org/W2963430933","https://openalex.org/W2963474899","https://openalex.org/W2963498646","https://openalex.org/W2963677766","https://openalex.org/W2963703618","https://openalex.org/W2963877604","https://openalex.org/W2964056935","https://openalex.org/W2982152811","https://openalex.org/W2999219213","https://openalex.org/W6731892127","https://openalex.org/W6738279954","https://openalex.org/W6743446608","https://openalex.org/W6745995898","https://openalex.org/W6753324805","https://openalex.org/W6754005058"],"related_works":["https://openalex.org/W2963430933","https://openalex.org/W3016119009","https://openalex.org/W2016202900","https://openalex.org/W2963880187","https://openalex.org/W2956371155","https://openalex.org/W3120183994","https://openalex.org/W3143320354","https://openalex.org/W2903184186","https://openalex.org/W107496289","https://openalex.org/W2968475085","https://openalex.org/W2953318060","https://openalex.org/W3002947174","https://openalex.org/W3035713288","https://openalex.org/W2982571117","https://openalex.org/W3046829819","https://openalex.org/W2905519512","https://openalex.org/W3112674720","https://openalex.org/W2948983271","https://openalex.org/W3154935332","https://openalex.org/W3086707185"],"abstract_inverted_index":{"As":[0],"the":[1,46,67,71,74,84,94,122],"range":[2],"of":[3,45,69,96,118,124],"tasks":[4,14,125],"performed":[5],"by":[6,37,41,99],"a":[7,19,42,55,60,79],"general":[8],"vision":[9,32],"system":[10],"expands,":[11],"executing":[12],"multiple":[13],"accurately":[15],"and":[16,26,89,126],"efficiently":[17],"in":[18,73,78,116],"single":[20],"network":[21,47,64,77],"has":[22],"become":[23],"an":[24],"important":[25],"still":[27],"open":[28],"problem.":[29],"Recent":[30],"computer":[31],"approaches":[33,107],"address":[34],"this":[35],"problem":[36],"branching":[38],"networks,":[39],"or":[40],"channel-wise":[43],"modulation":[44],"feature-maps":[48],"with":[49],"task":[50,119],"specific":[51],"vectors.":[52],"We":[53,92,111],"present":[54],"novel":[56],"architecture":[57],"that":[58,81],"uses":[59],"dedicated":[61],"top-down":[62],"control":[63],"to":[65],"modify":[66],"activation":[68],"all":[70],"units":[72],"main":[75],"recognition":[76],"manner":[80],"depends":[82],"on":[83,108],"selected":[85],"task,":[86],"image":[87],"content,":[88],"spatial":[90],"location.":[91],"show":[93],"effectiveness":[95],"our":[97,114],"scheme":[98],"achieving":[100],"significantly":[101],"better":[102],"results":[103],"than":[104],"alternative":[105],"state-of-the-art":[106],"four":[109],"datasets.":[110],"further":[112],"demonstrate":[113],"advantages":[115],"terms":[117],"selectivity,":[120],"scaling":[121],"number":[123],"interpretability.":[127]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
