{"id":"https://openalex.org/W7127992725","doi":"https://doi.org/10.48550/arxiv.2602.05454","title":"Attention Retention for Continual Learning with Vision Transformers","display_name":"Attention Retention for Continual Learning with Vision Transformers","publication_year":2026,"publication_date":"2026-02-05","ids":{"openalex":"https://openalex.org/W7127992725","doi":"https://doi.org/10.48550/arxiv.2602.05454"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.05454","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/A5125214259","display_name":"Yue Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lu, Yue","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125193631","display_name":"Xiangyu Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Xiangyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125243862","display_name":"Shizhou Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Shizhou","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125238488","display_name":"Yinghui Xing","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xing, Yinghui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125242929","display_name":"Guoqiang Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Guoqiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125157845","display_name":"Wencong Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Wencong","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5125214259"],"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":0.8841999769210815,"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":0.8841999769210815,"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":0.026100000366568565,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.018400000408291817,"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":0.7712000012397766},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5467000007629395},{"id":"https://openalex.org/keywords/visual-attention","display_name":"Visual attention","score":0.44179999828338623},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.39739999175071716},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.38850000500679016},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.33640000224113464},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.32690000534057617},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3070000112056732}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7712000012397766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.675599992275238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6212000250816345},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5467000007629395},{"id":"https://openalex.org/C2986089797","wikidata":"https://www.wikidata.org/wiki/Q6501338","display_name":"Visual attention","level":3,"score":0.44179999828338623},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.39739999175071716},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.38850000500679016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3806000053882599},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.33640000224113464},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.32690000534057617},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.26260000467300415},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2547000050544739},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.25450000166893005},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.25189998745918274},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.05454","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.05454","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.05454","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.05454","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"Continual":[0],"learning":[1,49,112],"(CL)":[2],"empowers":[3],"AI":[4],"systems":[5],"to":[6,41,71,119,152],"progressively":[7],"acquire":[8],"knowledge":[9],"from":[10],"non-stationary":[11],"data":[12],"streams.":[13],"However,":[14],"catastrophic":[15,36,168],"forgetting":[16,73,169],"remains":[17],"a":[18,32,67,88,100,113],"critical":[19],"challenge.":[20],"In":[21],"this":[22],"work,":[23],"we":[24,65],"identify":[25],"attention":[26,40,59,79,93,126],"drift":[27,80],"in":[28,60,74,166],"Vision":[29],"Transformers":[30],"as":[31],"primary":[33],"source":[34],"of":[35,95,131,163],"forgetting,":[37],"where":[38],"the":[39,57,61,96,140,161],"previously":[42],"learned":[43,132],"visual":[44,63,133,172],"concepts":[45],"shifts":[46],"significantly":[47],"after":[48],"new":[50,114],"tasks.":[51],"Inspired":[52],"by":[53,81,147],"neuroscientific":[54],"insights":[55],"into":[56],"selective":[58],"human":[62],"system,":[64],"propose":[66],"novel":[68],"attention-retaining":[69],"framework":[70],"mitigate":[72],"CL.":[75],"Our":[76],"method":[77,165],"constrains":[78],"explicitly":[82],"modifying":[83],"gradients":[84,122],"during":[85],"backpropagation":[86],"through":[87],"two-step":[89],"process:":[90],"1)":[91],"extracting":[92],"maps":[94],"previous":[97,125],"task":[98],"using":[99],"layer-wise":[101],"rollout":[102],"mechanism":[103],"and":[104,109,158,170,178],"generating":[105],"instance-adaptive":[106],"binary":[107],"masks,":[108],"2)":[110],"when":[111],"task,":[115],"applying":[116],"these":[117],"masks":[118],"zero":[120],"out":[121],"associated":[123],"with":[124,137],"regions,":[127],"thereby":[128],"preventing":[129],"disruption":[130],"concepts.":[134,173],"For":[135],"compatibility":[136],"modern":[138],"optimizers,":[139],"gradient":[141],"masking":[142],"process":[143],"is":[144],"further":[145],"enhanced":[146],"scaling":[148],"parameter":[149],"updates":[150],"proportionally":[151],"maintain":[153],"their":[154],"relative":[155],"magnitudes.":[156],"Experiments":[157],"visualizations":[159],"demonstrate":[160],"effectiveness":[162],"our":[164],"mitigating":[167],"preserving":[171],"It":[174],"achieves":[175],"state-of-the-art":[176],"performance":[177],"exhibits":[179],"robust":[180],"generalizability":[181],"across":[182],"diverse":[183],"CL":[184],"scenarios.":[185]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-07T00:00:00"}