{"id":"https://openalex.org/W3194161076","doi":"https://doi.org/10.1109/icip42928.2021.9506776","title":"Zero-Shot Learning Of A Conditional Generative Adversarial Network For Data-Free Network Quantization","display_name":"Zero-Shot Learning Of A Conditional Generative Adversarial Network For Data-Free Network Quantization","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3194161076","doi":"https://doi.org/10.1109/icip42928.2021.9506776","mag":"3194161076"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","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/A5101848875","display_name":"Yoojin Choi","orcid":"https://orcid.org/0000-0002-4496-0738"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yoojin Choi","raw_affiliation_strings":["SoC R&#x0026; D, Samsung Semiconductor Inc.,San Diego,CA,USA,92121"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SoC R&#x0026; D, Samsung Semiconductor Inc.,San Diego,CA,USA,92121","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022805456","display_name":"Mostafa El\u2010Khamy","orcid":"https://orcid.org/0000-0001-9421-6037"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mostafa El-Khamy","raw_affiliation_strings":["SoC R&#x0026; D, Samsung Semiconductor Inc.,San Diego,CA,USA,92121"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SoC R&#x0026; D, Samsung Semiconductor Inc.,San Diego,CA,USA,92121","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100331815","display_name":"Jungwon Lee","orcid":"https://orcid.org/0000-0001-8922-063X"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jungwon Lee","raw_affiliation_strings":["SoC R&#x0026; D, Samsung Semiconductor Inc.,San Diego,CA,USA,92121"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SoC R&#x0026; D, Samsung Semiconductor Inc.,San Diego,CA,USA,92121","institution_ids":["https://openalex.org/I4210101778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210101778"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3552","last_page":"3556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9990000128746033,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9990000128746033,"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":0.9987999796867371,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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/quantization","display_name":"Quantization (signal processing)","score":0.6997966170310974},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6945772767066956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6460008025169373},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6081179976463318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6013901233673096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5150225162506104},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5032777190208435},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.499819278717041},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.479480117559433},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4785459637641907},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4437797963619232},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4211270213127136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.397038072347641},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30676692724227905},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06285420060157776}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6997966170310974},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6945772767066956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6460008025169373},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6081179976463318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6013901233673096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5150225162506104},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5032777190208435},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.499819278717041},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.479480117559433},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4785459637641907},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4437797963619232},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4211270213127136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.397038072347641},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30676692724227905},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06285420060157776},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1821462560","https://openalex.org/W2117539524","https://openalex.org/W2125389028","https://openalex.org/W2194775991","https://openalex.org/W2300242332","https://openalex.org/W2469490737","https://openalex.org/W2727849499","https://openalex.org/W2787579267","https://openalex.org/W2884150179","https://openalex.org/W2952716587","https://openalex.org/W2963122961","https://openalex.org/W2963163009","https://openalex.org/W2963263347","https://openalex.org/W2963935227","https://openalex.org/W2981751377","https://openalex.org/W2982083293","https://openalex.org/W2982479999","https://openalex.org/W3012561096","https://openalex.org/W3034940165","https://openalex.org/W3034957837","https://openalex.org/W3034997257","https://openalex.org/W3035460915","https://openalex.org/W4297775537","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6638523607","https://openalex.org/W6678815747","https://openalex.org/W6720242923","https://openalex.org/W6726497184","https://openalex.org/W6732866452","https://openalex.org/W6737664043","https://openalex.org/W6746466744","https://openalex.org/W6748655329","https://openalex.org/W6755312952"],"related_works":["https://openalex.org/W1617617605","https://openalex.org/W4396941953","https://openalex.org/W2987280934","https://openalex.org/W4241564561","https://openalex.org/W2888032422","https://openalex.org/W2904948340","https://openalex.org/W4377980832","https://openalex.org/W3172695526","https://openalex.org/W2897769091","https://openalex.org/W2845413374"],"abstract_inverted_index":{"We":[0,79,92],"propose":[1],"a":[2,7,23,29,34,116],"novel":[3],"method":[4],"for":[5],"training":[6,17,44,63],"conditional":[8,30,49],"generative":[9],"adversarial":[10],"network":[11,97],"(CGAN)":[12],"without":[13],"the":[14,48,61,67,71,76,81,94,100,108],"use":[15],"of":[16,22,28,75,83,88,99],"data,":[18],"called":[19],"zero-shot":[20],"learning":[21,27],"CGAN":[24],"(ZS-CGAN).":[25],"Zero-shot":[26],"generator":[31,50],"only":[32],"needs":[33],"pre-trained":[35],"discriminative":[36],"(classification)":[37],"model":[38],"and":[39,102],"does":[40],"not":[41],"need":[42],"any":[43],"data.":[45],"In":[46],"particular,":[47],"is":[51],"trained":[52,106],"to":[53,122],"produce":[54],"labeled":[55],"synthetic":[56],"samples":[57],"whose":[58],"characteristics":[59],"mimic":[60],"original":[62],"data":[64],"by":[65,125],"using":[66,113],"statistics":[68],"stored":[69],"in":[70,85,119],"batch":[72],"normalization":[73],"layers":[74],"pretrained":[77],"model.":[78],"show":[80],"usefulness":[82],"ZS-CGAN":[84,114],"data-free":[86,96],"quantization":[87,98,112],"deep":[89],"neural":[90],"networks.":[91],"achieved":[93],"state-of-the-art":[95],"ResNet":[101],"MobileNet":[103],"classification":[104],"models":[105],"on":[107],"ImageNet":[109],"dataset.":[110],"Data-free":[111],"showed":[115],"minimal":[117],"loss":[118],"accuracy":[120],"compared":[121],"that":[123],"obtained":[124],"conventional":[126],"data-dependent":[127],"quantization.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
