{"id":"https://openalex.org/W3212911258","doi":"https://doi.org/10.23919/icac50006.2021.9594164","title":"Learnable Quantization Loss Function Based on Expectation","display_name":"Learnable Quantization Loss Function Based on Expectation","publication_year":2021,"publication_date":"2021-09-02","ids":{"openalex":"https://openalex.org/W3212911258","doi":"https://doi.org/10.23919/icac50006.2021.9594164","mag":"3212911258"},"language":"en","primary_location":{"id":"doi:10.23919/icac50006.2021.9594164","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icac50006.2021.9594164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 26th International Conference on Automation and Computing (ICAC)","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/A5055457866","display_name":"Hao Sun","orcid":"https://orcid.org/0000-0002-5834-0564"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Sun","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080620152","display_name":"Yujuan Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujuan Cheng","raw_affiliation_strings":["Baidu, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu, Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062035739","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0001-5057-1870"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752983","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-2940-3001"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054524841","display_name":"Shouyi Yin","orcid":"https://orcid.org/0000-0003-2309-572X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouyi Yin","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23114957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9954000115394592,"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":0.7020666599273682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5462354421615601},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4749367833137512},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32943660020828247}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7020666599273682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5462354421615601},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4749367833137512},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32943660020828247},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icac50006.2021.9594164","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icac50006.2021.9594164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 26th International Conference on Automation and Computing (ICAC)","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":59,"referenced_works":["https://openalex.org/W1902934009","https://openalex.org/W2194775991","https://openalex.org/W2291160084","https://openalex.org/W2300242332","https://openalex.org/W2319920447","https://openalex.org/W2405920868","https://openalex.org/W2469490737","https://openalex.org/W2515385951","https://openalex.org/W2586654419","https://openalex.org/W2604319603","https://openalex.org/W2653504903","https://openalex.org/W2739789140","https://openalex.org/W2748818695","https://openalex.org/W2749976746","https://openalex.org/W2753301142","https://openalex.org/W2786771851","https://openalex.org/W2787513570","https://openalex.org/W2789142637","https://openalex.org/W2799243248","https://openalex.org/W2803739089","https://openalex.org/W2884150179","https://openalex.org/W2887447938","https://openalex.org/W2899303916","https://openalex.org/W2900694899","https://openalex.org/W2942881521","https://openalex.org/W2962965870","https://openalex.org/W2963048807","https://openalex.org/W2963114950","https://openalex.org/W2963122961","https://openalex.org/W2963521187","https://openalex.org/W2963674932","https://openalex.org/W2964008506","https://openalex.org/W2964133305","https://openalex.org/W2964164125","https://openalex.org/W2964228333","https://openalex.org/W2964246969","https://openalex.org/W2966159086","https://openalex.org/W2966671006","https://openalex.org/W2999803881","https://openalex.org/W3004061291","https://openalex.org/W3010557233","https://openalex.org/W3037899338","https://openalex.org/W6638632666","https://openalex.org/W6639703010","https://openalex.org/W6696798448","https://openalex.org/W6700264148","https://openalex.org/W6714058667","https://openalex.org/W6720242923","https://openalex.org/W6726275242","https://openalex.org/W6734062232","https://openalex.org/W6741553980","https://openalex.org/W6743112319","https://openalex.org/W6744700018","https://openalex.org/W6748224102","https://openalex.org/W6748319235","https://openalex.org/W6755838813","https://openalex.org/W6756331354","https://openalex.org/W6761573690","https://openalex.org/W6766471998"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Low-bit":[0],"quantization":[1,18,26,35,48,55,59,75,83],"is":[2,20,29,38,62,107,127],"an":[3],"effective":[4,43],"way":[5],"to":[6,45,64],"save":[7],"storage":[8],"and":[9,42,124],"computing":[10],"resources.":[11],"However,":[12,50],"the":[13,16,25,30,39,47,53,57,95,113,117,133,139],"accuracy":[14,103,118],"of":[15,24,52,104,112,119,132],"low-bit":[17],"model":[19],"low.":[21],"The":[22,102],"loss":[23,36,60,76],"model\u2019s":[27],"precision":[28],"major":[31],"cause.":[32],"Creating":[33],"a":[34,73],"function":[37,61,77],"most":[40],"direct":[41],"method":[44,93,106],"optimize":[46],"error.":[49,84],"Because":[51],"underivable":[54],"function,":[56],"optimized":[58],"difficult":[63],"be":[65],"designed.":[66],"To":[67],"solve":[68],"these":[69],"problems,":[70],"we":[71],"propose":[72],"learnable":[74],"base":[78],"on":[79,87,138],"expectation":[80],"for":[81,98],"minimizing":[82],"Extensive":[85],"experiments":[86],"image":[88],"classification":[89,141],"show":[90],"that":[91,111,131],"our":[92,105],"outperforms":[94],"state-of-the-art":[96,135],"techniques":[97],"all":[99],"bit":[100],"widths.":[101],"much":[108],"higher":[109,129],"than":[110,130],"existing":[114],"methods.":[115],"Significantly,":[116],"ResNet18":[120],"with":[121],"1-bit":[122,125],"weight":[123],"activation":[126],"5.18%":[128],"current":[134],"binary":[136],"network":[137],"ImageNet":[140],"task.":[142]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
