{"id":"https://openalex.org/W4404133618","doi":"https://doi.org/10.1145/3649329.3656231","title":"RL-PTQ: RL-based Mixed Precision Quantization for Hybrid Vision Transformers","display_name":"RL-PTQ: RL-based Mixed Precision Quantization for Hybrid Vision Transformers","publication_year":2024,"publication_date":"2024-06-23","ids":{"openalex":"https://openalex.org/W4404133618","doi":"https://doi.org/10.1145/3649329.3656231"},"language":"en","primary_location":{"id":"doi:10.1145/3649329.3656231","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649329.3656231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","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/A5035447590","display_name":"Eunji Kwon","orcid":"https://orcid.org/0000-0001-5313-8976"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Eunji Kwon","raw_affiliation_strings":["Pohang University of Science and Technology, Pohang, North Gyungsang province, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology, Pohang, North Gyungsang province, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036778557","display_name":"Minxuan Zhou","orcid":"https://orcid.org/0000-0002-5523-7270"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minxuan Zhou","raw_affiliation_strings":["University of California San Diego, La Jolla, CA, United States"],"affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA, United States","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039571679","display_name":"Weihong Xu","orcid":"https://orcid.org/0000-0003-3766-3353"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weihong Xu","raw_affiliation_strings":["University of California San Diego, La Jolla, CA, United States"],"affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA, United States","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025573294","display_name":"Tajana Rosing","orcid":"https://orcid.org/0000-0002-6954-997X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tajana Rosing","raw_affiliation_strings":["University of California San Diego, La Jolla, CA, United States"],"affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA, United States","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044543389","display_name":"Seokhyeong Kang","orcid":"https://orcid.org/0000-0003-3015-1806"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seokhyeong Kang","raw_affiliation_strings":["Pohang University of Science and Technology, Pohang, North Gyungsang province, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology, Pohang, North Gyungsang province, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035447590"],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":null,"apc_paid":null,"fwci":0.6263,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69412169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9994000196456909,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.996399998664856,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5956687331199646},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5588005781173706},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.47260338068008423},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4233984351158142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40946176648139954},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1270371675491333},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1216709315776825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5956687331199646},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5588005781173706},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.47260338068008423},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4233984351158142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40946176648139954},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1270371675491333},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1216709315776825},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3649329.3656231","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649329.3656231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6299999952316284,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2796438033","https://openalex.org/W2810704618","https://openalex.org/W2917767146","https://openalex.org/W2962298324","https://openalex.org/W2963122961","https://openalex.org/W2982479999","https://openalex.org/W3017746288","https://openalex.org/W3038470071","https://openalex.org/W3083104827","https://openalex.org/W3154851733","https://openalex.org/W3176068477","https://openalex.org/W3203105104","https://openalex.org/W4280496502","https://openalex.org/W4285601701","https://openalex.org/W4313069943","https://openalex.org/W4320459518","https://openalex.org/W4360834835","https://openalex.org/W6677916085"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Existing":[0],"quantization":[1,24,43,57],"approaches":[2],"incur":[3],"significant":[4],"accuracy":[5,66],"loss":[6],"when":[7],"compressing":[8],"hybrid":[9,59],"convolution":[10],"and":[11,40,52,93,106],"transformer":[12],"models":[13],"with":[14],"low":[15],"bit-width.":[16],"This":[17],"paper":[18],"presents":[19],"RL-PTQ,":[20],"a":[21],"novel":[22],"post-training":[23],"(PTQ)":[25],"framework":[26],"utilizing":[27],"reinforcement":[28],"learning":[29],"(RL).":[30],"Our":[31],"focus":[32],"is":[33],"on":[34,80,100],"determining":[35],"the":[36,54,63,71,97,101],"most":[37],"effective":[38],"bit-width":[39],"observer":[41],"for":[42,46,67],"configurations":[44],"tailored":[45],"mixed":[47],"precision":[48],"by":[49],"grouping":[50],"layers":[51],"addressing":[53],"challenges":[55],"of":[56,58,91],"transformers.":[60],"We":[61],"achieved":[62],"highest":[64],"quantized":[65,78],"MobileViTs":[68],"compared":[69,95],"to":[70,96],"previous":[72],"PTQ":[73],"methods":[74],"[5--7].":[75],"Furthermore,":[76],"our":[77],"model":[79],"Processing":[81],"In":[82],"Memory":[83],"(PIM)":[84],"architecture":[85],"exhibited":[86],"an":[87],"energy":[88],"efficiency":[89],"enhancement":[90],"10.1\u00d7":[92],"22.6\u00d7":[94],"baseline":[98],"model,":[99],"state-of-the-art":[102],"PIM":[103],"accelerator":[104],"[15]":[105],"GPU,":[107],"respectively.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}