{"id":"https://openalex.org/W4414359902","doi":"https://doi.org/10.24963/ijcai.2025/614","title":"Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization","display_name":"Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359902","doi":"https://doi.org/10.24963/ijcai.2025/614"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/614","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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/A5041191758","display_name":"Haidong Kang","orcid":"https://orcid.org/0000-0001-8533-5704"},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Haidong Kang","raw_affiliation_strings":["Northeastern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068061222","display_name":"Lianbo Ma","orcid":"https://orcid.org/0000-0002-9969-211X"},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Lianbo Ma","raw_affiliation_strings":["Northeastern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109000158","display_name":"Guo Yu","orcid":"https://orcid.org/0000-0003-2302-2010"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Yu","raw_affiliation_strings":["Nanjing Tech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Tech University","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010245958","display_name":"Shangce Gao","orcid":"https://orcid.org/0000-0001-5042-3261"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shangce Gao","raw_affiliation_strings":["University of Toyama"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toyama","institution_ids":["https://openalex.org/I42766147"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"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":0.33753212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5517","last_page":"5526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.8597000241279602,"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":0.8597000241279602,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.8533999919891357,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10320","display_name":"Neural Networks and Applications","score":0.8424000144004822,"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/quantization","display_name":"Quantization (signal processing)","score":0.8101000189781189},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.5698000192642212},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5633000135421753},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4133000075817108},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.34599998593330383},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.3269999921321869}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.8101000189781189},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.5698000192642212},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5645999908447266},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5633000135421753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5170000195503235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42320001125335693},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4133000075817108},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.34599998593330383},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3269999921321869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30149999260902405},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.29190000891685486},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.290800005197525},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.27000001072883606},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.26100000739097595}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/614","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Mixed":[0],"precision":[1,79],"quantization":[2,7,38,64,80,90,127],"(MPQ)":[3],"is":[4,35,172],"an":[5],"effective":[6],"approach":[8],"to":[9,20,36,62,74,96,139],"achieve":[10],"accuracy-complexity":[11],"trade-off":[12],"of":[13,31,56,89,126,136],"neural":[14],"network,":[15],"through":[16],"assigning":[17],"different":[18],"bit-widths":[19],"network":[21],"activations":[22],"and":[23,121],"weights":[24],"in":[25,43],"each":[26],"layer.":[27],"The":[28],"typical":[29],"way":[30],"existing":[32],"MPQ":[33,51,148,160],"methods":[34],"optimize":[37],"policies":[39],"(i.e.,":[40],"bit-width":[41,60,110,138,154],"allocation)":[42],"a":[44,146,166],"gradient":[45],"descent":[46],"manner,":[47],"termed":[48],"as":[49],"Differentiable":[50],"(DMPQ).":[52],"At":[53],"the":[54,57,59,63,68,76,83,87,93,97,106,109,124,133,137,140,153,159],"end":[55],"search,":[58],"associated":[61],"parameters":[65,91,128],"which":[66,151],"has":[67,102,113],"largest":[69],"value":[70],"will":[71],"be":[72],"selected":[73],"form":[75],"final":[77],"mixed":[78],"policy,":[81],"with":[82],"implicit":[84],"assumption":[85],"that":[86,123,183],"values":[88],"reflect":[92,132],"operation":[94],"contribution":[95,135,157],"accuracy":[98],"improvement.":[99],"While":[100],"much":[101],"been":[103],"discussed":[104],"about":[105],"MPQ\u2019s":[107],"improvement,":[108],"selection":[111],"process":[112],"received":[114],"little":[115],"attention.":[116],"We":[117],"study":[118],"this":[119],"problem":[120],"argue":[122],"magnitude":[125],"does":[129],"not":[130],"necessarily":[131],"actual":[134],"task":[141],"performance.":[142],"Then,":[143],"we":[144],"propose":[145],"Shapley-based":[147],"(SMPQ)":[149],"method,":[150],"measures":[152],"operation\u2019s":[155],"direct":[156],"on":[158,179],"task.":[161],"To":[162],"reduce":[163],"computation":[164],"cost,":[165],"Monte":[167],"Carlo":[168],"sampling-based":[169],"approximation":[170],"strategy":[171],"proposed":[173],"for":[174],"Shapley":[175],"computation.":[176],"Extensive":[177],"experiments":[178],"mainstream":[180],"benchmarks":[181],"demonstrate":[182],"our":[184],"SMPQ":[185],"consistently":[186],"achieves":[187],"state-of-the-art":[188],"performance":[189],"than":[190],"gradient-based":[191],"competitors.":[192]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
