{"id":"https://openalex.org/W4402982352","doi":"https://doi.org/10.1109/icme57554.2024.10687395","title":"RotoGBML: Towards Out-of-distribution Generalization for Gradient-based Meta-learning","display_name":"RotoGBML: Towards Out-of-distribution Generalization for Gradient-based Meta-learning","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402982352","doi":"https://doi.org/10.1109/icme57554.2024.10687395"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100744463","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0002-8681-5889"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034760558","display_name":"Zifeng Zhuang","orcid":"https://orcid.org/0009-0008-2667-6099"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zifeng Zhuang","raw_affiliation_strings":["Westlake University"],"affiliations":[{"raw_affiliation_string":"Westlake University","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682835","display_name":"Zhitao Wang","orcid":"https://orcid.org/0000-0002-2883-1661"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhitao Wang","raw_affiliation_strings":["Westlake University"],"affiliations":[{"raw_affiliation_string":"Westlake University","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100665181","display_name":"Donglin Wang","orcid":"https://orcid.org/0000-0002-8188-3735"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donglin Wang","raw_affiliation_strings":["Westlake University"],"affiliations":[{"raw_affiliation_string":"Westlake University","institution_ids":["https://openalex.org/I3133055985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100744463"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.7274,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76469723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9609000086784363,"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":0.9609000086784363,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7753037214279175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5908749103546143},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.5869254469871521},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.43173301219940186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.395303338766098},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2932811379432678},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09724032878875732},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07504871487617493}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7753037214279175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5908749103546143},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.5869254469871521},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.43173301219940186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.395303338766098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2932811379432678},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09724032878875732},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07504871487617493},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2963677766","https://openalex.org/W2964105864","https://openalex.org/W3014641072","https://openalex.org/W3159907343","https://openalex.org/W3173900519","https://openalex.org/W4224918184","https://openalex.org/W4313130367","https://openalex.org/W4390873355","https://openalex.org/W4393150492","https://openalex.org/W6736057607","https://openalex.org/W6745995898","https://openalex.org/W6748136086","https://openalex.org/W6754005058","https://openalex.org/W6755019207","https://openalex.org/W6755207826","https://openalex.org/W6758126075","https://openalex.org/W6758132781","https://openalex.org/W6763752302","https://openalex.org/W6766092863","https://openalex.org/W6767599400","https://openalex.org/W6768532476","https://openalex.org/W6771876938","https://openalex.org/W6772329248","https://openalex.org/W6783566936","https://openalex.org/W6783698908","https://openalex.org/W6785214881","https://openalex.org/W6790935598","https://openalex.org/W6797394732","https://openalex.org/W6800440403","https://openalex.org/W6801567575","https://openalex.org/W6802094109","https://openalex.org/W6866296000"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W3162204513","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4283332751"],"abstract_inverted_index":{"Gradient-based":[0],"meta-learning":[1],"(GBML)":[2],"algorithms":[3],"can":[4],"quickly":[5],"adapt":[6],"to":[7,86,95,100,108,126,142],"new":[8],"tasks":[9,19,42],"by":[10,65],"transferring":[11],"the":[12,22,29,67,119,128,148],"learned":[13],"meta-knowledge":[14,64],"while":[15],"assuming":[16],"that":[17,165],"all":[18],"come":[20],"from":[21,44],"same":[23],"distribution":[24],"(in-distribution,":[25],"ID).":[26],"However,":[27],"in":[28,50,62,72],"real":[30],"world,":[31],"they":[32],"often":[33],"grapple":[34],"with":[35,118],"an":[36,137],"out-of-distribution":[37],"(OOD)":[38],"generalization":[39],"challenge,":[40],"where":[41],"stem":[43],"diverse":[45,98],"distributions.":[46],"OOD":[47,88],"exacerbates":[48],"discrepancies":[49],"task":[51,70,89,153],"gradient":[52],"magnitudes":[53,99],"and":[54,104],"directions,":[55],"posing":[56],"a":[57,82,101],"formidable":[58],"challenge":[59],"for":[60],"GBML":[61],"optimizing":[63],"minimizing":[66],"sum":[68],"of":[69,130,150],"gradients":[71,117,154],"each":[73],"minibatch.":[74],"To":[75,112],"address":[76],"this":[77],"problem,":[78],"we":[79,115,135],"propose":[80,136],"RotoGBML,":[81],"novel":[83],"approach":[84],"designed":[85],"homogenize":[87,116],"gradients.":[90],"RotoGBML":[91,166],"employs":[92],"reweighted":[93],"vectors":[94],"dynamically":[96],"balance":[97],"standardized":[102],"scale":[103],"uses":[105],"rotation":[106],"matrices":[107],"align":[109],"conflicting":[110],"directions.":[111],"reduce":[113],"overhead,":[114],"features":[120,132,146],"rather":[121],"than":[122],"network":[123],"parameters.":[124],"Additionally,":[125],"circumvent":[127],"impact":[129],"non-causal":[131],"(e.g.,":[133,147],"backgrounds),":[134],"Invariant":[138],"Self-Information":[139],"(ISI)":[140],"module":[141],"extract":[143],"invariant":[144,160],"causal":[145,161],"outlines":[149],"objects).":[151],"Finally,":[152],"are":[155],"homogenized":[156],"based":[157],"on":[158],"these":[159],"features.":[162],"Experiments":[163],"demonstrate":[164],"outperforms":[167],"state-of-the-art":[168],"methods":[169],"across":[170],"various":[171],"few-shot":[172],"benchmarks.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
