{"id":"https://openalex.org/W7134805565","doi":"https://doi.org/10.48550/arxiv.2603.08426","title":"Grow, Assess, Compress: Adaptive Backbone Scaling for Memory-Efficient Class Incremental Learning","display_name":"Grow, Assess, Compress: Adaptive Backbone Scaling for Memory-Efficient Class Incremental Learning","publication_year":2026,"publication_date":"2026-03-09","ids":{"openalex":"https://openalex.org/W7134805565","doi":"https://doi.org/10.48550/arxiv.2603.08426"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.08426","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128654180","display_name":"Adrian Garcia-Casta\u00f1eda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Garcia-Casta\u00f1eda, Adrian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114617573","display_name":"Jon Irureta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Irureta, Jon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106356897","display_name":"Jon Imaz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Imaz, Jon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5123006086","display_name":"Aizea Lojo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lojo, Aizea","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9641000032424927,"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":0.9641000032424927,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.004900000058114529,"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/T11448","display_name":"Face recognition and analysis","score":0.0013000000035390258,"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/forgetting","display_name":"Forgetting","score":0.8277999758720398},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.6790000200271606},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6129000186920166},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5001000165939331},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4440000057220459},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.38499999046325684},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.35040000081062317},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.3450999855995178},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.33719998598098755}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.8277999758720398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172999978065491},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.6790000200271606},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6129000186920166},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5001000165939331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4916999936103821},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4440000057220459},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3450999855995178},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3422999978065491},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.33719998598098755},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32010000944137573},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3172999918460846},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2809999883174896},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.25589999556541443}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.08426","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.08426","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.08426","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.08426","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Class":[0],"Incremental":[1],"Learning":[2],"(CIL)":[3],"poses":[4],"a":[5,9,51,62,75,107,133],"fundamental":[6],"challenge:":[7],"maintaining":[8],"balance":[10],"between":[11],"the":[12,20,82,85,91,100,104],"plasticity":[13],"required":[14],"to":[15,23,93,97,132,136],"learn":[16],"new":[17],"tasks":[18],"and":[19,43],"stability":[21],"needed":[22],"prevent":[24],"catastrophic":[25],"forgetting.":[26],"While":[27],"expansion-based":[28],"methods":[29],"effectively":[30],"mitigate":[31],"forgetting":[32],"by":[33,130],"adding":[34],"task-specific":[35],"parameters,":[36],"they":[37],"suffer":[38],"from":[39],"uncontrolled":[40],"architectural":[41],"growth":[42],"memory":[44,128],"overhead.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,70],"propose":[50],"novel":[52,76],"dynamic":[53],"scaling":[54],"framework":[55,92],"that":[56,80,116],"adaptively":[57],"manages":[58],"model":[59],"capacity":[60],"through":[61],"cyclic":[63],"\"GRow,":[64],"Assess,":[65],"ComprEss\"":[66],"(GRACE)":[67],"strategy.":[68],"Crucially,":[69],"supplement":[71],"backbone":[72],"expansion":[73],"with":[74],"saturation":[77],"assessment":[78,89],"phase":[79],"evaluates":[81],"utilization":[83],"of":[84],"model's":[86],"capacity.":[87],"This":[88],"allows":[90],"make":[94],"informed":[95],"decisions":[96],"either":[98],"expand":[99],"architecture":[101],"or":[102],"compress":[103],"backbones":[105],"into":[106],"streamlined":[108],"representation,":[109],"preventing":[110],"parameter":[111],"explosion.":[112],"Experimental":[113],"results":[114],"demonstrate":[115],"our":[117],"approach":[118],"achieves":[119],"state-of-the-art":[120],"performance":[121],"across":[122],"multiple":[123],"CIL":[124],"benchmarks,":[125],"while":[126],"reducing":[127],"footprint":[129],"up":[131],"73%":[134],"compared":[135],"purely":[137],"expansionist":[138],"models.":[139]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-11T00:00:00"}
