{"id":"https://openalex.org/W7114804398","doi":"https://doi.org/10.48550/arxiv.2512.07981","title":"CIP-Net: Continual Interpretable Prototype-based Network","display_name":"CIP-Net: Continual Interpretable Prototype-based Network","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W7114804398","doi":"https://doi.org/10.48550/arxiv.2512.07981"},"language":"en","primary_location":{"id":"pmh:oai:HAL:hal-05506052v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05506052","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://aaai.org/conference/aaai/aaai-26/","raw_type":"Conference papers"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2512.07981","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Di Valerio, Federico","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Di Valerio, Federico","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Proietti, Michela","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Proietti, Michela","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ragno, Alessio","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ragno, Alessio","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Capobianco, Roberto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Capobianco, Roberto","raw_affiliation_strings":[],"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":0.705299973487854,"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":0.705299973487854,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.093299999833107,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.08089999854564667,"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/forgetting","display_name":"Forgetting","score":0.7825000286102295},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6360999941825867},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.462799996137619},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2994999885559082},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2973000109195709}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7825000286102295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6951000094413757},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6360999941825867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6057999730110168},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.515500009059906},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.462799996137619},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2994999885559082},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2597000002861023}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:HAL:hal-05506052v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05506052","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://aaai.org/conference/aaai/aaai-26/","raw_type":"Conference papers"},{"id":"doi:10.48550/arxiv.2512.07981","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.07981","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":"doi:10.48550/arxiv.2512.07981","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.07981","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Continual":[0],"learning":[1,27],"constrains":[2],"models":[3,59],"to":[4,33,50,134],"learn":[5],"new":[6,28,87],"tasks":[7],"over":[8],"time":[9],"without":[10],"forgetting":[11],"what":[12],"they":[13,63],"have":[14],"already":[15],"learned.":[16],"A":[17],"key":[18],"challenge":[19],"in":[20,90,140],"this":[21,94],"setting":[22],"is":[23],"catastrophic":[24],"forgetting,":[25],"where":[26],"information":[29],"causes":[30],"the":[31],"model":[32,103],"lose":[34],"its":[35],"performance":[36],"on":[37],"previous":[38,135],"tasks.":[39],"Recently,":[40],"explainable":[41,76],"AI":[42],"has":[43],"been":[44],"proposed":[45],"as":[46],"a":[47,115,155],"promising":[48],"way":[49],"better":[51],"understand":[52],"and":[53,113,123,137,143,157],"reduce":[54],"forgetting.":[55],"In":[56,93],"particular,":[57],"self-explainable":[58,101,138],"are":[60],"useful":[61,121],"because":[62],"generate":[64],"explanations":[65,80,122],"during":[66],"prediction,":[67],"which":[68],"can":[69],"help":[70],"preserve":[71],"knowledge.":[72],"However,":[73],"most":[74],"existing":[75],"approaches":[77],"use":[78],"post-hoc":[79],"or":[81],"require":[82],"additional":[83],"memory":[84],"for":[85,105,160],"each":[86],"task,":[88],"resulting":[89],"limited":[91],"scalability.":[92],"work,":[95],"we":[96],"introduce":[97],"CIP-Net,":[98],"an":[99],"exemplar-free":[100,136],"prototype-based":[102],"designed":[104],"continual":[106,161],"learning.":[107,162],"CIP-Net":[108],"avoids":[109],"storing":[110],"past":[111],"examples":[112],"maintains":[114],"simple":[116],"architecture,":[117],"while":[118,146],"still":[119],"providing":[120],"strong":[124],"performance.":[125],"We":[126],"demonstrate":[127],"that":[128],"CIPNet":[129],"achieves":[130],"state-of-the-art":[131],"performances":[132],"compared":[133],"methods":[139],"both":[141],"task-":[142],"class-incremental":[144],"settings,":[145],"bearing":[147],"significantly":[148],"lower":[149],"memory-related":[150],"overhead.":[151],"This":[152],"makes":[153],"it":[154],"practical":[156],"interpretable":[158],"solution":[159]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-12-11T00:00:00"}