{"id":"https://openalex.org/W4306317456","doi":"https://doi.org/10.1145/3511808.3557237","title":"Analysis of Knowledge Transfer in Kernel Regime","display_name":"Analysis of Knowledge Transfer in Kernel Regime","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317456","doi":"https://doi.org/10.1145/3511808.3557237"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557237","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557237","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557237","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557237","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015473416","display_name":"Ashkan Panahi","orcid":"https://orcid.org/0000-0003-2085-7127"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Ashkan Panahi","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088799368","display_name":"Arman Rahbar","orcid":"https://orcid.org/0000-0001-9159-7831"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Arman Rahbar","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032650028","display_name":"Chiranjib Bhattacharyya","orcid":"https://orcid.org/0000-0003-2879-4933"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chiranjib Bhattacharyya","raw_affiliation_strings":["Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073376939","display_name":"Devdatt Dubhashi","orcid":"https://orcid.org/0000-0002-9928-2305"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Devdatt Dubhashi","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103015876","display_name":"Morteza Haghir Chehreghani","orcid":"https://orcid.org/0000-0002-2912-7422"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Morteza Haghir Chehreghani","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015473416"],"corresponding_institution_ids":["https://openalex.org/I66862912"],"apc_list":null,"apc_paid":null,"fwci":0.3141,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51889543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1615","last_page":"1624"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9988999962806702,"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/T10320","display_name":"Neural Networks and Applications","score":0.9988999962806702,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9987000226974487,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6513972878456116},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.6255285739898682},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6210887432098389},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6044695973396301},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5981168746948242},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5880657434463501},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5830491781234741},{"id":"https://openalex.org/keywords/statement","display_name":"Statement (logic)","score":0.5146313905715942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47618404030799866},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.4696197807788849},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4344172477722168},{"id":"https://openalex.org/keywords/phenomenon","display_name":"Phenomenon","score":0.4176998734474182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21819347143173218},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20078960061073303},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.12117263674736023},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.10812196135520935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6513972878456116},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.6255285739898682},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6210887432098389},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6044695973396301},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5981168746948242},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5880657434463501},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5830491781234741},{"id":"https://openalex.org/C2777026412","wikidata":"https://www.wikidata.org/wiki/Q2684591","display_name":"Statement (logic)","level":2,"score":0.5146313905715942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47618404030799866},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.4696197807788849},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4344172477722168},{"id":"https://openalex.org/C50335755","wikidata":"https://www.wikidata.org/wiki/Q483247","display_name":"Phenomenon","level":2,"score":0.4176998734474182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21819347143173218},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20078960061073303},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.12117263674736023},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.10812196135520935},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/3511808.3557237","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557237","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557237","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai::77888","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401429","display_name":"ePrints@IISc (Indian Institute of Science)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:arXiv.org:2003.13438","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.13438","pdf_url":"https://arxiv.org/pdf/2003.13438","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":null,"raw_type":"text"},{"id":"pmh:oai:research.chalmers.se:532594","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/532594","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:research.chalmers.se:532935","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/623ac53e-0068-4ba9-91b1-393519227467","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.1145/3511808.3557237","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557237","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557237","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G8683756101","display_name":null,"funder_award_id":"support","funder_id":"https://openalex.org/F4320322327","funder_display_name":"Knut och Alice Wallenbergs Stiftelse"}],"funders":[{"id":"https://openalex.org/F4320322327","display_name":"Knut och Alice Wallenbergs Stiftelse","ror":"https://ror.org/004hzzk67"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306317456.pdf","grobid_xml":"https://content.openalex.org/works/W4306317456.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1920328734","https://openalex.org/W2067562626","https://openalex.org/W2109743529","https://openalex.org/W2173379916","https://openalex.org/W2542226129","https://openalex.org/W2560674852","https://openalex.org/W2590235073","https://openalex.org/W2739879705","https://openalex.org/W2750784772","https://openalex.org/W2809090039","https://openalex.org/W2908414126","https://openalex.org/W2913010492","https://openalex.org/W2913930213","https://openalex.org/W2914020154","https://openalex.org/W2945289329","https://openalex.org/W2946840143","https://openalex.org/W2962737704","https://openalex.org/W2963239103","https://openalex.org/W2963736842","https://openalex.org/W2990138404","https://openalex.org/W2998892810","https://openalex.org/W4287641056","https://openalex.org/W4289436733","https://openalex.org/W4293390340"],"related_works":["https://openalex.org/W167088980","https://openalex.org/W2475705533","https://openalex.org/W186129870","https://openalex.org/W3200522959","https://openalex.org/W4389944781","https://openalex.org/W2997993211","https://openalex.org/W120415280","https://openalex.org/W4383099232","https://openalex.org/W1501776718","https://openalex.org/W3162204513"],"abstract_inverted_index":{"Knowledge":[0],"transfer":[1,75],"is":[2,104,123,159],"shown":[3],"to":[4,31,69,125,151,183],"be":[5],"a":[6,28,33,160,181],"very":[7],"successful":[8],"technique":[9],"for":[10,180],"training":[11,143],"neural":[12],"classifiers:":[13],"together":[14],"with":[15,86],"the":[16,22,71,78,81,84,90,102,116,130,139,142,148,152,157,164,172,175,188,192,201],"ground":[17],"truth":[18],"data,":[19],"it":[20,114,122],"uses":[21],"\"privileged":[23],"information\"":[24],"(PI)":[25],"obtained":[26],"by":[27,76,89],"\"teacher\"":[29],"network":[30],"train":[32],"\"student\"":[34],"network.":[35,168],"It":[36],"has":[37,53],"been":[38,54],"observed":[39],"that":[40,100,121,171,199],"classifiers":[41],"learn":[42],"much":[43],"faster":[44],"and":[45,83,119,129,145,185,204],"more":[46],"reliably":[47],"via":[48],"knowledge":[49,74],"transfer.":[50],"However,":[51],"there":[52],"little":[55],"or":[56],"no":[57],"theoretical":[58,202],"analysis":[59,198],"of":[60,73,147,156,166,177,191],"this":[61,65],"phenomenon.":[62],"To":[63],"bridge":[64],"gap,":[66],"we":[67,98,111],"propose":[68],"approach":[70],"problem":[72],"regularizing":[77],"fit":[79],"between":[80,127,141],"teacher":[82,173],"student":[85,103,149,167,182],"PI":[87,128],"provided":[88],"teacher.":[91,153],"Using":[92],"tools":[93],"from":[94],"dynamical":[95],"systems":[96],"theory,":[97],"show":[99,120],"when":[101],"an":[105],"extremely":[106],"wide":[107],"two":[108],"layer":[109],"network,":[110],"can":[112],"analyze":[113],"in":[115],"kernel":[117],"regime":[118],"able":[124],"interpolate":[126],"given":[131],"data.":[132],"This":[133],"characterization":[134],"sheds":[135],"new":[136],"light":[137],"on":[138,163],"relation":[140],"error":[144],"capacity":[146],"relative":[150],"Another":[154],"contribution":[155],"paper":[158],"quantitative":[161],"statement":[162],"convergence":[165],"We":[169,194],"prove":[170],"reduces":[174],"number":[176],"required":[178],"iterations":[179],"learn,":[184],"consequently":[186],"improves":[187],"generalization":[189],"power":[190],"student.":[193],"give":[195],"corresponding":[196],"experimental":[197],"validates":[200],"results":[203],"yield":[205],"additional":[206],"insights.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2022-10-16T00:00:00"}
