{"id":"https://openalex.org/W3047691619","doi":"https://doi.org/10.1109/newcas49341.2020.9159767","title":"Exploring Quantization in Few-Shot Learning","display_name":"Exploring Quantization in Few-Shot Learning","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3047691619","doi":"https://doi.org/10.1109/newcas49341.2020.9159767","mag":"3047691619"},"language":"en","primary_location":{"id":"doi:10.1109/newcas49341.2020.9159767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas49341.2020.9159767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)","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/A5100785858","display_name":"Meiqi Wang","orcid":"https://orcid.org/0000-0001-9553-3640"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiqi Wang","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023881582","display_name":"Ruixin Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixin Xue","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101534216","display_name":"Jun Lin","orcid":"https://orcid.org/0000-0003-2291-309X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Lin","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696999","display_name":"Zhongfeng Wang","orcid":"https://orcid.org/0000-0002-7227-4786"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongfeng Wang","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"70","issue":null,"first_page":"279","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9891999959945679,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6846153736114502},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6537633538246155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6155794858932495},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.42966142296791077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41281306743621826},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.21091213822364807},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12915924191474915},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06671321392059326}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6846153736114502},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6537633538246155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6155794858932495},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.42966142296791077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41281306743621826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21091213822364807},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12915924191474915},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06671321392059326},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/newcas49341.2020.9159767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas49341.2020.9159767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2115733720","https://openalex.org/W2194775991","https://openalex.org/W2604763608","https://openalex.org/W2742093937","https://openalex.org/W2768228940","https://openalex.org/W2917518248","https://openalex.org/W2963122961","https://openalex.org/W2963341924","https://openalex.org/W2963943197","https://openalex.org/W2964105864","https://openalex.org/W4294646197","https://openalex.org/W6717697761","https://openalex.org/W6736057607"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W4294892107","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2357748469","https://openalex.org/W2392917037","https://openalex.org/W2046675961"],"abstract_inverted_index":{"Training":[0],"the":[1,8,25,34,50,76,87,101,133,174,179,182,188],"neural":[2,97],"networks":[3],"on":[4,111,146,187],"chip,":[5],"which":[6,60,156],"enables":[7],"local":[9],"privacy":[10],"data":[11],"to":[12,49,99],"be":[13,141,171],"stored":[14],"and":[15,90,121,126,137,148,167],"processed":[16],"at":[17],"edge":[18],"platforms,":[19],"is":[20,154],"earning":[21],"vital":[22],"importance":[23],"with":[24,64,143],"explosive":[26],"growth":[27],"of":[28,30,53,69,78,94,104,113,184],"Internet":[29],"Things":[31],"(IoT).":[32],"Although":[33],"on-chip":[35,51,102],"training":[36,125,136],"has":[37],"been":[38],"widely":[39],"investigated":[40],"in":[41],"previous":[42],"arts,":[43],"there":[44],"are":[45],"few":[46],"works":[47],"related":[48],"learning":[52,63],"Few-Shot":[54],"Learning":[55],"(FSL),":[56],"an":[57],"emerging":[58],"topic":[59],"explores":[61],"effective":[62],"only":[65],"a":[66,80,95,151,159],"small":[67],"number":[68],"samples.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"explore":[75],"effectiveness":[77],"quantization,":[79],"mainstream":[81,115],"compression":[82],"method":[83],"that":[84,132,158],"helps":[85],"reduce":[86],"memory":[88],"footprint":[89],"computational":[91,165],"resource":[92],"requirements":[93],"full-precision":[96],"network":[98],"enable":[100],"deployment":[103,183],"FSL.":[105],"We":[106],"first":[107],"perform":[108],"extensive":[109],"experiments":[110],"quantization":[112],"three":[114],"meta-learning-based":[116],"FSL":[117,185],"networks,":[118],"MAML,":[119],"Meta-SGD,":[120],"Reptile,":[122],"for":[123,181],"both":[124],"testing":[127,138],"stages.":[128],"Experimental":[129],"results":[130],"show":[131],"16-bit":[134],"quantized":[135],"models":[139],"can":[140,170],"achieved":[142,172],"negligible":[144],"losses":[145],"MAML":[147],"Meta-SGD.":[149],"Then":[150],"comprehensive":[152],"analysis":[153],"presented":[155],"demonstrates":[157],"most":[160],"favorable":[161],"trade-off":[162],"between":[163],"accuracy,":[164],"complexity,":[166],"model":[168],"size":[169],"using":[173],"Meta-SGD":[175],"model.":[176],"This":[177],"paves":[178],"way":[180],"system":[186],"resource-constrained":[189],"platforms.":[190]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
