{"id":"https://openalex.org/W4392910564","doi":"https://doi.org/10.1109/icassp48485.2024.10446057","title":"Automatic Design of Adapter Architectures for Enhanced Parameter-Efficient Fine-Tuning","display_name":"Automatic Design of Adapter Architectures for Enhanced Parameter-Efficient Fine-Tuning","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392910564","doi":"https://doi.org/10.1109/icassp48485.2024.10446057"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045072935","display_name":"Siya Xu","orcid":"https://orcid.org/0000-0001-6124-0030"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siya Xu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]},{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060722367","display_name":"Xinyan Wen","orcid":"https://orcid.org/0000-0003-4257-921X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyan Wen","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]},{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"12536","last_page":"12540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9815000295639038,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9815000295639038,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/adapter","display_name":"Adapter (computing)","score":0.9620068073272705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7675282955169678},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6422479748725891},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.576911211013794},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4170878529548645},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3586732745170593},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.34801822900772095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33604758977890015},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.16954883933067322}],"concepts":[{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.9620068073272705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7675282955169678},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6422479748725891},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.576911211013794},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4170878529548645},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3586732745170593},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.34801822900772095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33604758977890015},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.16954883933067322},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G378174793","display_name":null,"funder_award_id":"62201074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2765833400","https://openalex.org/W2792643794","https://openalex.org/W2899663614","https://openalex.org/W2923014074","https://openalex.org/W2943552823","https://openalex.org/W2951104886","https://openalex.org/W2965373594","https://openalex.org/W2979826702","https://openalex.org/W2996428491","https://openalex.org/W2998036008","https://openalex.org/W3129613340","https://openalex.org/W3153675281","https://openalex.org/W3168867926","https://openalex.org/W3176828726","https://openalex.org/W3204160375","https://openalex.org/W3205270560","https://openalex.org/W3205949070","https://openalex.org/W4205991051","https://openalex.org/W4206178588","https://openalex.org/W4221145545","https://openalex.org/W4224115290","https://openalex.org/W4282961290","https://openalex.org/W4283019279","https://openalex.org/W4285595687","https://openalex.org/W4287122891","https://openalex.org/W4287855051","https://openalex.org/W4322766882","https://openalex.org/W4385245566","https://openalex.org/W4385571108","https://openalex.org/W6759579507","https://openalex.org/W6796710205"],"related_works":["https://openalex.org/W2133028525","https://openalex.org/W4229060448","https://openalex.org/W4306381730","https://openalex.org/W2981692913","https://openalex.org/W3044188621","https://openalex.org/W3184035966","https://openalex.org/W2485605994","https://openalex.org/W2038503502","https://openalex.org/W2048582679","https://openalex.org/W2782226720"],"abstract_inverted_index":{"Adapters,":[0],"one":[1],"of":[2,23],"the":[3,20,28,41,64,74],"most":[4],"important":[5],"parameter-efficient":[6],"fine-tuning":[7],"(PEFT)":[8],"methods,":[9],"achieve":[10],"state-of-the-art":[11],"(SOTA)":[12],"performance":[13],"through":[14],"manual":[15],"architecture":[16,58],"design.":[17],"To":[18],"unlock":[19],"full":[21],"potential":[22],"adapter":[24,35,42],"tuning,":[25],"we":[26,39,51],"introduce":[27],"AutoAdapter":[29,82],"framework,":[30],"designated":[31],"to":[32,62],"design":[33,43],"novel":[34,85],"architectures":[36],"automatically.":[37],"First,":[38],"discuss":[40],"choices":[44],"and":[45,71,76],"define":[46],"a":[47],"search":[48,59,65],"space.":[49],"Second,":[50],"propose":[52],"CDARTS,":[53],"an":[54],"contribution-based":[55],"differentiable":[56],"neural":[57],"(NAS)":[60],"method,":[61],"enhance":[63],"results.":[66],"We":[67],"conduct":[68],"comprehensive":[69],"experiments":[70],"analysis":[72],"on":[73],"GLUE":[75],"SuperCLUE":[77],"benchmark":[78],"tasks,":[79],"demonstrating":[80],"that":[81,87],"effectively":[83],"designs":[84],"adapters":[86],"outperform":[88],"recent":[89],"baseline":[90],"PEFT":[91],"methods.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
