{"id":"https://openalex.org/W3197982909","doi":"https://doi.org/10.1007/978-3-030-92310-5_38","title":"On Robustness of\u00a0Generative Representations Against Catastrophic Forgetting","display_name":"On Robustness of\u00a0Generative Representations Against Catastrophic Forgetting","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3197982909","doi":"https://doi.org/10.1007/978-3-030-92310-5_38","mag":"3197982909"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-92310-5_38","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-92310-5_38","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-030-92310-5_38","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088799131","display_name":"Wojciech Masarczyk","orcid":"https://orcid.org/0000-0001-6548-4139"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Wojciech Masarczyk","raw_affiliation_strings":["Warsaw University of Technology, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026378980","display_name":"Kamil Rafa\u0142 Deja","orcid":"https://orcid.org/0000-0003-1156-5544"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Kamil Deja","raw_affiliation_strings":["Warsaw University of Technology, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070627781","display_name":"T. P. Trzcinski","orcid":"https://orcid.org/0000-0002-1486-8906"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]},{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz Trzcinski","raw_affiliation_strings":["Jagiellonian University, Krak\u00f3w, Poland","Tooploox, Wroc\u0142aw, Poland","Warsaw University of Technology, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Jagiellonian University, Krak\u00f3w, Poland","institution_ids":["https://openalex.org/I126596746"]},{"raw_affiliation_string":"Tooploox, Wroc\u0142aw, Poland","institution_ids":[]},{"raw_affiliation_string":"Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088799131"],"corresponding_institution_ids":["https://openalex.org/I108403487"],"apc_list":null,"apc_paid":null,"fwci":0.3588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58550874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"325","last_page":"333"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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/T10028","display_name":"Topic Modeling","score":0.9595000147819519,"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":0.9658702611923218},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.8911670446395874},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7419227957725525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6831257939338684},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6769165396690369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5847334861755371},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.53896164894104},{"id":"https://openalex.org/keywords/generative-design","display_name":"Generative Design","score":0.5038918852806091},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4890757203102112},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43189069628715515},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13637062907218933},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.12295520305633545},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09989112615585327}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.9658702611923218},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.8911670446395874},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7419227957725525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6831257939338684},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6769165396690369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5847334861755371},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.53896164894104},{"id":"https://openalex.org/C184408114","wikidata":"https://www.wikidata.org/wiki/Q1502022","display_name":"Generative Design","level":3,"score":0.5038918852806091},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4890757203102112},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43189069628715515},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13637062907218933},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.12295520305633545},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09989112615585327},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-92310-5_38","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-92310-5_38","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},{"id":"pmh:oai:ruj.uj.edu.pl:item/285121","is_oa":true,"landing_page_url":"https://ruj.uj.edu.pl/xmlui/handle/item/285121","pdf_url":null,"source":{"id":"https://openalex.org/S4306401249","display_name":"Jagiellonian University Repository (Jagiellonian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126596746","host_organization_name":"Jagiellonian University","host_organization_lineage":["https://openalex.org/I126596746"],"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":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1007/978-3-030-92310-5_38","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-92310-5_38","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2060277733","https://openalex.org/W2117539524","https://openalex.org/W2426267443","https://openalex.org/W2560647685","https://openalex.org/W2737492962","https://openalex.org/W2744654301","https://openalex.org/W2787295326","https://openalex.org/W2788388592","https://openalex.org/W2791091755","https://openalex.org/W2894094671","https://openalex.org/W2922466325","https://openalex.org/W2942810103","https://openalex.org/W2946894912","https://openalex.org/W2963072899","https://openalex.org/W2963403868","https://openalex.org/W2963540014","https://openalex.org/W2963559848","https://openalex.org/W2963643064","https://openalex.org/W2964088867","https://openalex.org/W2964790801","https://openalex.org/W2970586779","https://openalex.org/W2971176100","https://openalex.org/W2997851974","https://openalex.org/W3034408737","https://openalex.org/W3034836583","https://openalex.org/W3043058418","https://openalex.org/W3097784654","https://openalex.org/W3105124822","https://openalex.org/W3123422770","https://openalex.org/W3130138360","https://openalex.org/W3203936539","https://openalex.org/W3204102604","https://openalex.org/W6739901393","https://openalex.org/W6756754374"],"related_works":["https://openalex.org/W3197982909","https://openalex.org/W4286986507","https://openalex.org/W2093104230","https://openalex.org/W2987280934","https://openalex.org/W2751624083","https://openalex.org/W4317695495","https://openalex.org/W4380551139","https://openalex.org/W4388137171","https://openalex.org/W1967909251","https://openalex.org/W4283803360"],"abstract_inverted_index":{"Catastrophic":[0],"forgetting":[1,108],"of":[2,15,40,58,65,78,85,120],"previously":[3],"learned":[4,99],"knowledge":[5],"while":[6],"learning":[7,22,142],"new":[8,115,131],"tasks":[9],"is":[10,36],"a":[11,56,76],"widely":[12],"observed":[13],"limitation":[14],"contemporary":[16],"neural":[17,70],"networks.":[18],"Although":[19],"many":[20],"continual":[21,125,141],"methods":[23],"are":[24,103],"proposed":[25],"to":[26,62,106,136],"mitigate":[27],"this":[28,44,50],"drawback,":[29],"the":[30,37,63,83,118],"main":[31],"question":[32,51],"remains":[33],"unanswered:":[34],"what":[35],"root":[38],"cause":[39],"catastrophic":[41,93,107],"forgetting?":[42],"In":[43],"work,":[45],"we":[46,74],"aim":[47],"at":[48],"answering":[49],"by":[52,69,100],"posing":[53],"and":[54,89,134],"validating":[55],"set":[57,77],"research":[59,132],"hypotheses":[60],"related":[61],"specificity":[64],"representations":[66,86,98],"built":[67],"internally":[68],"models.":[71],"More":[72],"specifically,":[73],"design":[75],"empirical":[79],"evaluations":[80],"that":[81,97],"compare":[82],"robustness":[84],"in":[87,140],"discriminative":[88,101],"generative":[90,111,122,138],"models":[91,102,123,139],"against":[92],"forgetting.":[94],"We":[95],"observe":[96],"more":[104],"prone":[105],"than":[109],"their":[110],"counterparts,":[112],"which":[113],"sheds":[114],"light":[116],"on":[117],"advantages":[119],"developing":[121],"for":[124],"learning.":[126],"Finally,":[127],"our":[128],"work":[129],"opens":[130],"pathways":[133],"possibilities":[135],"adopt":[137],"beyond":[143],"mere":[144],"replay":[145],"mechanisms.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
