{"id":"https://openalex.org/W7139984476","doi":"https://doi.org/10.1016/j.neunet.2026.108884","title":"Generative binary memory: Pseudo-Replay class-Incremental learning on binarized embeddings","display_name":"Generative binary memory: Pseudo-Replay class-Incremental learning on binarized embeddings","publication_year":2026,"publication_date":"2026-03-21","ids":{"openalex":"https://openalex.org/W7139984476","doi":"https://doi.org/10.1016/j.neunet.2026.108884"},"language":"en","primary_location":{"id":"doi:10.1016/j.neunet.2026.108884","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neunet.2026.108884","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.neunet.2026.108884","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086340436","display_name":"Yanis Basso-Bert","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I3020098449","display_name":"CEA Grenoble","ror":"https://ror.org/02mg6n827","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I3020098449"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yanis Basso-Bert","raw_affiliation_strings":["Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: ybassobert@gmail.com"],"raw_orcid":"https://orcid.org/0009-0000-5109-6602","affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: ybassobert@gmail.com","institution_ids":["https://openalex.org/I3020098449","https://openalex.org/I2738703131","https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022822165","display_name":"William Guicqu\u00e9ro","orcid":"https://orcid.org/0000-0001-8925-0441"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I3020098449","display_name":"CEA Grenoble","ror":"https://ror.org/02mg6n827","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I3020098449"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I4210117989","display_name":"Direction de la Recherche Technologique","ror":"https://ror.org/02ggzyd20","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"William Guicquero","raw_affiliation_strings":["Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: william.guicquero@cea.fr"],"raw_orcid":"https://orcid.org/0000-0001-8925-0441","affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: william.guicquero@cea.fr","institution_ids":["https://openalex.org/I4210117989","https://openalex.org/I4210085861","https://openalex.org/I3020098449","https://openalex.org/I2738703131","https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089717134","display_name":"Anca Molnos","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I3020098449","display_name":"CEA Grenoble","ror":"https://ror.org/02mg6n827","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I3020098449"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Anca Molnos","raw_affiliation_strings":["Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: anca.molnos@cea.fr"],"raw_orcid":"https://orcid.org/0000-0003-2400-165X","affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: anca.molnos@cea.fr","institution_ids":["https://openalex.org/I3020098449","https://openalex.org/I2738703131","https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Romain Lemaire","orcid":"https://orcid.org/0000-0002-7260-2786"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I3020098449","display_name":"CEA Grenoble","ror":"https://ror.org/02mg6n827","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I3020098449"]},{"id":"https://openalex.org/I4210117989","display_name":"Direction de la Recherche Technologique","ror":"https://ror.org/02ggzyd20","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Romain Lemaire","raw_affiliation_strings":["Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: romain.lemaire@cea.fr"],"raw_orcid":"https://orcid.org/0000-0002-7260-2786","affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: romain.lemaire@cea.fr","institution_ids":["https://openalex.org/I3020098449","https://openalex.org/I2738703131","https://openalex.org/I4210117989","https://openalex.org/I899635006"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008973296","display_name":"Antoine Dupret","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I3020098449","display_name":"CEA Grenoble","ror":"https://ror.org/02mg6n827","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I3020098449"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antoine Dupret","raw_affiliation_strings":["Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: antoine.dupret@cea.fr"],"raw_orcid":"https://orcid.org/0000-0002-0145-2186","affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes, CEA, List, Grenoble, F-38000, France. Electronic address: antoine.dupret@cea.fr","institution_ids":["https://openalex.org/I3020098449","https://openalex.org/I2738703131","https://openalex.org/I899635006"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089717134"],"corresponding_institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I3020098449","https://openalex.org/I899635006"],"apc_list":{"value":3350,"currency":"USD","value_usd":3350},"apc_paid":{"value":3350,"currency":"USD","value_usd":3350},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29164522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"201","issue":null,"first_page":"108884","last_page":"108884"},"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":0.5389000177383423,"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":0.5389000177383423,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.0966000035405159,"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/T10057","display_name":"Face and Expression Recognition","score":0.09099999815225601,"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/binary-number","display_name":"Binary number","score":0.5533000230789185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5146999955177307},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.39489999413490295},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.3691999912261963},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.31310001015663147},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.3059000074863434}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6812999844551086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6216999888420105},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5533000230789185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5146999955177307},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.39489999413490295},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3691999912261963},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32030001282691956},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.3059000074863434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3034999966621399},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.26409998536109924}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.neunet.2026.108884","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neunet.2026.108884","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Networks","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.neunet.2026.108884","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neunet.2026.108884","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Networks","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W1686266550","https://openalex.org/W2012256292","https://openalex.org/W2046640024","https://openalex.org/W2112796928","https://openalex.org/W2473930607","https://openalex.org/W2488085568","https://openalex.org/W2560647685","https://openalex.org/W3004174851","https://openalex.org/W3009272685","https://openalex.org/W3034368386","https://openalex.org/W3097816393","https://openalex.org/W3205667954","https://openalex.org/W4286906772"],"related_works":[],"abstract_inverted_index":{"In":[0],"dynamic":[1],"environments":[2],"where":[3],"new":[4,16],"concepts":[5],"continuously":[6],"emerge,":[7],"Deep":[8],"Neural":[9,85],"Networks":[10,86],"(DNNs)":[11],"must":[12],"adapt":[13],"by":[14,27],"learning":[15],"classes":[17],"while":[18],"retaining":[19],"previously":[20],"acquired":[21],"ones.":[22],"This":[23,31],"challenge":[24],"is":[25],"addressed":[26],"Class-Incremental":[28],"Learning":[29],"(CIL).":[30],"paper":[32],"introduces":[33],"Generative":[34],"Binary":[35,84],"Memory":[36],"(GBM),":[37],"a":[38,64,69,122],"novel":[39],"CIL":[40,132],"pseudo-replay":[41],"approach":[42,74],"which":[43],"generates":[44],"synthetic":[45],"binary":[46,66],"pseudo-exemplars.":[47],"Relying":[48],"on":[49,107,148],"Bernoulli":[50],"Mixture":[51],"Models":[52],"(BMMs),":[53],"GBM":[54,80,100,128],"effectively":[55],"models":[56],"the":[57],"multi-modal":[58],"characteristics":[59],"of":[60],"class":[61],"distributions,":[62],"in":[63,92,140],"latent,":[65],"space.":[67],"With":[68],"specifically-designed":[70],"feature":[71],"binarizer,":[72],"our":[73,126],"applies":[75],"to":[76],"any":[77],"conventional":[78],"DNN.":[79],"also":[81,129],"natively":[82],"supports":[83],"(BNNs)":[87],"for":[88,121,134],"highly-constrained":[89],"model":[90],"sizes":[91],"embedded":[93],"systems.":[94],"The":[95],"experimental":[96],"results":[97],"demonstrate":[98],"that":[99],"achieves":[101],"higher":[102],"than":[103],"state-of-the-art":[104],"average":[105],"accuracy":[106,142],"CIFAR100":[108],"(":[109,116],"+":[110,117,137],"2.9":[111],"%":[112,119,139],")":[113,120],"and":[114,143],"TinyImageNet":[115],"1.5":[118],"ResNet-18":[123],"equipped":[124],"with":[125,136],"binarizer.":[127],"outperforms":[130],"emerging":[131],"methods":[133],"BNNs,":[135],"3.1":[138],"final":[141],"\u00d7":[144],"4.7":[145],"memory":[146],"reduction,":[147],"CORE50.":[149]},"counts_by_year":[],"updated_date":"2026-06-18T08:10:14.011955","created_date":"2026-03-22T00:00:00"}