{"id":"https://openalex.org/W2942511017","doi":"https://doi.org/10.1109/iscas.2019.8702541","title":"Incremental Learning Meets Reduced Precision Networks","display_name":"Incremental Learning Meets Reduced Precision Networks","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2942511017","doi":"https://doi.org/10.1109/iscas.2019.8702541","mag":"2942511017"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2019.8702541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.zora.uzh.ch/id/eprint/184185/9/184185.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039687466","display_name":"Yuhuang Hu","orcid":"https://orcid.org/0000-0002-5543-7619"},"institutions":[{"id":"https://openalex.org/I12708293","display_name":"SIB Swiss Institute of Bioinformatics","ror":"https://ror.org/002n09z45","country_code":"CH","type":"nonprofit","lineage":["https://openalex.org/I12708293"]},{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Yuhuang Hu","raw_affiliation_strings":["Institute of Neuroinformatics, University of Z\u00fcrich and ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Neuroinformatics, University of Z\u00fcrich and ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I12708293","https://openalex.org/I202697423","https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051651857","display_name":"Tobi Delbr\u00fcck","orcid":"https://orcid.org/0000-0001-5479-1141"},"institutions":[{"id":"https://openalex.org/I12708293","display_name":"SIB Swiss Institute of Bioinformatics","ror":"https://ror.org/002n09z45","country_code":"CH","type":"nonprofit","lineage":["https://openalex.org/I12708293"]},{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Tobi Delbruck","raw_affiliation_strings":["Institute of Neuroinformatics, University of Z\u00fcrich and ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Neuroinformatics, University of Z\u00fcrich and ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I12708293","https://openalex.org/I202697423","https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053821067","display_name":"Shih\u2010Chii Liu","orcid":"https://orcid.org/0000-0002-7557-045X"},"institutions":[{"id":"https://openalex.org/I12708293","display_name":"SIB Swiss Institute of Bioinformatics","ror":"https://ror.org/002n09z45","country_code":"CH","type":"nonprofit","lineage":["https://openalex.org/I12708293"]},{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Shih-Chii Liu","raw_affiliation_strings":["Institute of Neuroinformatics, University of Z\u00fcrich and ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Neuroinformatics, University of Z\u00fcrich and ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I12708293","https://openalex.org/I202697423","https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2187,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49359089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"18","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":1.0,"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":0.9994999766349792,"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/T12676","display_name":"Machine Learning and ELM","score":0.9973000288009644,"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/computer-science","display_name":"Computer science","score":0.7066724300384521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38509732484817505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7066724300384521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38509732484817505}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iscas.2019.8702541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.zora.uzh.ch:184185","is_oa":true,"landing_page_url":"https://www.zora.uzh.ch/id/eprint/184185/9/184185.pdf","pdf_url":"https://www.zora.uzh.ch/id/eprint/184185/9/184185.pdf","source":{"id":"https://openalex.org/S4306401281","display_name":"Zurich Open Repository and Archive (University of Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I202697423","host_organization_name":"University of Zurich","host_organization_lineage":["https://openalex.org/I202697423"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Hu, Yuhuang; Delbruck, Tobi; Liu, Shih-Chii (2019). Incremental Learning Meets Reduced Precision Networks. In: 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, 26 May 2019 - 29 May 2019. Institute of Electrical and Electronics Engineers, 8702541.","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:infoscience.epfl.ch:271863","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/162577","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5124864","host_organization_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","host_organization_lineage":["https://openalex.org/I5124864"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference proceedings"},{"id":"doi:10.5167/uzh-184185","is_oa":true,"landing_page_url":"https://doi.org/10.5167/uzh-184185","pdf_url":null,"source":{"id":"https://openalex.org/S4306401281","display_name":"Zurich Open Repository and Archive (University of Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I202697423","host_organization_name":"University of Zurich","host_organization_lineage":["https://openalex.org/I202697423"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:www.zora.uzh.ch:184185","is_oa":true,"landing_page_url":"https://www.zora.uzh.ch/id/eprint/184185/9/184185.pdf","pdf_url":"https://www.zora.uzh.ch/id/eprint/184185/9/184185.pdf","source":{"id":"https://openalex.org/S4306401281","display_name":"Zurich Open Repository and Archive (University of Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I202697423","host_organization_name":"University of Zurich","host_organization_lineage":["https://openalex.org/I202697423"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Hu, Yuhuang; Delbruck, Tobi; Liu, Shih-Chii (2019). Incremental Learning Meets Reduced Precision Networks. In: 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, 26 May 2019 - 29 May 2019. Institute of Electrical and Electronics Engineers, 8702541.","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G8960580967","display_name":"HEAR-EAR","funder_award_id":"172553","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G993971353","display_name":null,"funder_award_id":"200021","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1596035946","https://openalex.org/W1682403713","https://openalex.org/W1821462560","https://openalex.org/W1836465849","https://openalex.org/W1902934009","https://openalex.org/W1999085092","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2267635276","https://openalex.org/W2285660444","https://openalex.org/W2289252105","https://openalex.org/W2300242332","https://openalex.org/W2401932923","https://openalex.org/W2469490737","https://openalex.org/W2512629640","https://openalex.org/W2524428287","https://openalex.org/W2565960208","https://openalex.org/W2593116425","https://openalex.org/W2623629680","https://openalex.org/W2743151379","https://openalex.org/W2751477244","https://openalex.org/W2771964490","https://openalex.org/W2894006184","https://openalex.org/W2950656546","https://openalex.org/W2963038864","https://openalex.org/W2963114950","https://openalex.org/W2963145956","https://openalex.org/W2963560049","https://openalex.org/W2963769126","https://openalex.org/W2963893493","https://openalex.org/W2964189064","https://openalex.org/W3021931813","https://openalex.org/W3118608800","https://openalex.org/W4300769538","https://openalex.org/W6638523607","https://openalex.org/W6638667902","https://openalex.org/W6639703010","https://openalex.org/W6698200048","https://openalex.org/W6720242923","https://openalex.org/W6725411060","https://openalex.org/W6727208969","https://openalex.org/W6738863719","https://openalex.org/W6743755670","https://openalex.org/W6746643698"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2049775471","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Hardware":[0],"accelerators":[1,146],"for":[2,32,54,144],"Deep":[3],"Neural":[4],"Networks":[5],"(DNNs)":[6],"that":[7,50,95,147],"use":[8],"reduced":[9,28,61,75],"precision":[10,20,29,62,76],"parameters":[11],"are":[12,110,142],"more":[13,119],"energy":[14],"efficient":[15],"than":[16,138],"the":[17,36,52,58,80,90,115,130,133],"equivalent":[18],"full":[19],"networks.":[21],"While":[22],"many":[23],"studies":[24],"have":[25],"focused":[26],"on":[27,46,64,89],"training":[30,77],"methods":[31,78],"supervised":[33],"networks":[34],"with":[35],"availability":[37],"of":[38,60,73,132],"large":[39],"datasets,":[40],"less":[41,137],"work":[42],"has":[43,63],"been":[44],"reported":[45],"incremental":[47,82,86,149],"learning":[48,83,150],"algorithms":[49],"adapt":[51],"network":[53,87,135],"new":[55],"classes":[56],"and":[57],"consequence":[59],"these":[65],"algorithms.":[66,151],"This":[67],"paper":[68],"presents":[69],"an":[70],"empirical":[71],"study":[72],"how":[74],"impact":[79],"iCARL":[81],"algorithm.":[84],"The":[85],"accuracies":[88,131],"CIFAR-100":[91],"image":[92],"dataset":[93],"show":[94],"weights":[96],"can":[97],"be":[98],"quantized":[99,111],"to":[100,112,125],"1":[101,113],"bit":[102],"(2.39%":[103],"drop":[104],"in":[105],"accuracy)":[106],"but":[107],"when":[108],"activations":[109],"bit,":[114],"accuracy":[116],"drops":[117],"much":[118],"(12.75%).":[120],"Quantizing":[121],"gradients":[122],"from":[123],"32":[124],"8":[126],"bits":[127],"only":[128],"affects":[129],"trained":[134],"by":[136],"1%.":[139],"These":[140],"results":[141],"encouraging":[143],"hardware":[145],"support":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}