{"id":"https://openalex.org/W7138890359","doi":"https://doi.org/10.1609/aaai.v40i33.39987","title":"Flow-Based Knowledge Transfer for Efficient Large Model Distillation","display_name":"Flow-Based Knowledge Transfer for Efficient Large Model Distillation","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138890359","doi":"https://doi.org/10.1609/aaai.v40i33.39987"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i33.39987","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i33.39987","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39987/43948","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39987/43948","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014038362","display_name":"Xinye Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xinye Yang","raw_affiliation_strings":["Newcastle University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129906614","display_name":"Junhao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Wang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130165275","display_name":"RuiLi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"RuiLi","raw_affiliation_strings":["Independent Researcher"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103466697","display_name":"Haohui Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haosen Sun","raw_affiliation_strings":["Northwestern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129798909","display_name":"Xuesheng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuesheng Zhang","raw_affiliation_strings":["Meituan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064642624","display_name":"Zebang Liu","orcid":"https://orcid.org/0000-0002-7799-8599"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zebang Liu","raw_affiliation_strings":["Independent Researcher"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101127949","display_name":"Gaochao Xu","orcid":"https://orcid.org/0000-0002-4450-7941"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaochao Xu","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043587684","display_name":"Y. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Chen","raw_affiliation_strings":["Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences,\nSchool of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology\nof China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences,\nSchool of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology\nof China","institution_ids":["https://openalex.org/I4210092817"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.76187101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"33","first_page":"27666","last_page":"27674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5072000026702881,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.5072000026702881,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.2660999894142151,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.09480000287294388,"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/distillation","display_name":"Distillation","score":0.613099992275238},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5066999793052673},{"id":"https://openalex.org/keywords/soundness","display_name":"Soundness","score":0.5008000135421753},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.46860000491142273},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.40549999475479126},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.40070000290870667},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.3874000012874603},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.3849000036716461},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.37119999527931213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6640999913215637},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.613099992275238},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5066999793052673},{"id":"https://openalex.org/C39920170","wikidata":"https://www.wikidata.org/wiki/Q693083","display_name":"Soundness","level":2,"score":0.5008000135421753},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46860000491142273},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.40549999475479126},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.40070000290870667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38960000872612},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.3849000036716461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3846000134944916},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38089999556541443},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.37119999527931213},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.37070000171661377},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.33660000562667847},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.326200008392334},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C2779136372","wikidata":"https://www.wikidata.org/wiki/Q10283002","display_name":"Information flow","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C56814567","wikidata":"https://www.wikidata.org/wiki/Q1323686","display_name":"Explicit knowledge","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.28200000524520874},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i33.39987","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i33.39987","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39987/43948","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/39987","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/39987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i33.39987","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i33.39987","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39987/43948","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138890359.pdf","grobid_xml":"https://content.openalex.org/works/W7138890359.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Traditional":[0],"knowledge":[1,42,76,91,110,206],"distillation":[2,30,122,183,198],"relies":[3],"on":[4,113,157,179],"simple":[5,99],"MSE":[6],"or":[7],"KL":[8],"divergence":[9],"losses":[10],"that":[11,32,85,108,127,168],"fail":[12],"to":[13,36,46,64,100,133,181],"capture":[14],"the":[15,40,88],"complex":[16,101],"distributional":[17],"relationships":[18],"between":[19,68],"teacher":[20,45,69],"and":[21,38,70,103,116,137,163,200],"student":[22,47,71],"model":[23,37],"representations.":[24],"We":[25],"propose":[26],"FlowDistill,":[27],"a":[28],"novel":[29],"framework":[31],"employs":[33],"normalizing":[34,61],"flows":[35,62],"transfer":[39,77,92,111,207],"intricate":[41],"distributions":[43],"from":[44,98,129],"models.":[48],"Our":[49,190],"approach":[50,145],"introduces":[51],"three":[52],"key":[53],"innovations:":[54],"(1)":[55],"Invertible":[56],"Knowledge":[57],"Mapping":[58],"using":[59],"continuous":[60],"(CNFs)":[63],"learn":[65],"bijective":[66],"transformations":[67,97,149],"representation":[72],"spaces,":[73],"enabling":[74],"precise":[75],"without":[78],"information":[79,138],"loss,":[80],"(2)":[81],"Flow-Guided":[82],"Progressive":[83],"Distillation":[84],"gradually":[86],"increases":[87],"complexity":[89],"of":[90],"by":[93,188],"learning":[94],"hierarchical":[95],"flow":[96,210],"distributions,":[102],"(3)":[104],"Conditional":[105],"Flow":[106],"Networks":[107],"adapt":[109],"based":[112],"input":[114],"context":[115],"task":[117],"requirements.":[118],"Unlike":[119],"previous":[120],"diffusion-based":[121],"methods":[123],"such":[124],"as":[125],"DiffKD":[126,178],"suffer":[128],"computational":[130,153],"overhead":[131],"due":[132],"iterative":[134],"denoising":[135],"processes":[136],"loss":[139],"during":[140],"noise":[141],"addition,":[142],"our":[143],"flow-based":[144],"provides":[146,201],"exact":[147],"invertible":[148,209],"with":[150,173],"significantly":[151],"reduced":[152],"cost.":[154],"Extensive":[155],"experiments":[156],"ImageNet":[158],"classification,":[159],"COCO":[160],"object":[161],"detection,":[162],"Cityscapes":[164],"semantic":[165],"segmentation":[166],"demonstrate":[167],"FlowDistill":[169],"achieves":[170],"superior":[171],"performance":[172],"2.1%":[174],"accuracy":[175],"improvement":[176],"over":[177],"ResNet-34":[180],"ResNet-18":[182],"while":[184],"reducing":[185],"inference":[186],"time":[187],"3.5\u00d7.":[189],"method":[191],"establishes":[192],"new":[193],"state-of-the-art":[194],"results":[195],"across":[196],"multiple":[197],"benchmarks":[199],"theoretical":[202],"guarantees":[203],"for":[204],"lossless":[205],"through":[208],"transformations.":[211]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-03-20T00:00:00"}
