{"id":"https://openalex.org/W4403791454","doi":"https://doi.org/10.1145/3664647.3681003","title":"Generating Prompts in Latent Space for Rehearsal-free Continual Learning","display_name":"Generating Prompts in Latent Space for Rehearsal-free Continual Learning","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791454","doi":"https://doi.org/10.1145/3664647.3681003"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681003","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071511791","display_name":"Chengyi Yang","orcid":"https://orcid.org/0000-0002-7023-7543"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyi Yang","raw_affiliation_strings":["Shanghai Institute of AI for Education, School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7023-7543","affiliations":[{"raw_affiliation_string":"Shanghai Institute of AI for Education, School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016946757","display_name":"Wentao Liu","orcid":"https://orcid.org/0009-0008-3205-8684"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Liu","raw_affiliation_strings":["Shanghai Institute of AI for Education, School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0008-3205-8684","affiliations":[{"raw_affiliation_string":"Shanghai Institute of AI for Education, School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049863209","display_name":"Shisong Chen","orcid":"https://orcid.org/0009-0005-0368-6866"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shisong Chen","raw_affiliation_strings":["Shanghai Institute of AI for Education, School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0005-0368-6866","affiliations":[{"raw_affiliation_string":"Shanghai Institute of AI for Education, School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063961362","display_name":"Jiayin Qi","orcid":"https://orcid.org/0000-0001-7162-4898"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayin Qi","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-7162-4898","affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050248676","display_name":"Aimin Zhou","orcid":"https://orcid.org/0000-0002-4768-5946"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aimin Zhou","raw_affiliation_strings":["Shanghai Institute of AI for Education, School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4768-5946","affiliations":[{"raw_affiliation_string":"Shanghai Institute of AI for Education, School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7802,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87624424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"8913","last_page":"8922"},"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":0.9980999827384949,"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":0.9980999827384949,"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":0.9854999780654907,"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":0.9764999747276306,"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/computer-science","display_name":"Computer science","score":0.6674294471740723},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5601676106452942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4518267512321472},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.40187621116638184},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33637213706970215},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08201974630355835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6674294471740723},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5601676106452942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4518267512321472},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.40187621116638184},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33637213706970215},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08201974630355835}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3681003","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W2106053110","https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2954929116","https://openalex.org/W2964194231","https://openalex.org/W2981720610","https://openalex.org/W3173747377","https://openalex.org/W3216968833","https://openalex.org/W4225484930","https://openalex.org/W4229453513","https://openalex.org/W4233762729","https://openalex.org/W4234552385","https://openalex.org/W4286903142","https://openalex.org/W4304080285","https://openalex.org/W4312238419","https://openalex.org/W4312351187","https://openalex.org/W4382318217","https://openalex.org/W4382450654","https://openalex.org/W4382464382","https://openalex.org/W4386075492","https://openalex.org/W4386075840","https://openalex.org/W4386076393","https://openalex.org/W4386076680","https://openalex.org/W4386083113","https://openalex.org/W4387969378","https://openalex.org/W4387969585","https://openalex.org/W4390871664","https://openalex.org/W4390871895","https://openalex.org/W4390872020","https://openalex.org/W4390872376","https://openalex.org/W4390872424","https://openalex.org/W4390872508","https://openalex.org/W4390873161"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Continual":[0],"learning":[1,31],"emerges":[2],"as":[3,81],"a":[4,11,53,115],"framework":[5],"that":[6,97,152],"trains":[7],"the":[8,50,56,64,87,95,102,136,140],"model":[9],"on":[10,48,111,157],"sequence":[12],"of":[13,52,58,89],"tasks":[14],"without":[15],"forgetting":[16],"previously":[17],"learned":[18],"knowledge,":[19],"which":[20,78],"has":[21,32],"been":[22],"applied":[23],"in":[24,74],"multiple":[25],"multimodal":[26],"scenarios.":[27],"Recently,":[28],"prompt-based":[29],"continual":[30],"achieved":[33],"excellent":[34],"domain":[35],"adaptability":[36],"and":[37,92,106,121,129,132],"knowledge":[38],"transfer":[39],"through":[40,139],"prompt":[41,90],"generation.":[42],"However,":[43],"existing":[44],"methods":[45],"mainly":[46],"focus":[47],"designing":[49],"architecture":[51],"generator,":[54],"neglecting":[55],"importance":[57],"providing":[59],"effective":[60],"guidance":[61,134],"for":[62,86,135],"training":[63,137],"generator.":[65],"To":[66],"address":[67],"this":[68],"issue,":[69],"we":[70],"propose":[71],"Generating":[72],"Prompts":[73],"Latent":[75],"Space":[76],"(GPLS),":[77],"considers":[79],"prompts":[80,98,125],"latent":[82],"variables":[83],"to":[84,118,146],"account":[85],"uncertainty":[88],"generation":[91],"aligns":[93],"with":[94,126],"fact":[96],"are":[99],"inserted":[100],"into":[101,124],"hidden":[103],"layer":[104],"outputs":[105],"exert":[107],"an":[108],"implicit":[109],"influence":[110],"classification.":[112],"GPLS":[113,153],"adopts":[114],"trainable":[116],"encoder":[117],"encode":[119],"task":[120],"feature":[122],"information":[123],"reparameterization":[127],"technique,":[128],"provides":[130],"refined":[131],"targeted":[133],"process":[138],"evidence":[141],"lower":[142],"bound":[143],"(ELBO)":[144],"related":[145],"Mahalanobis":[147],"distance.":[148],"Extensive":[149],"experiments":[150],"demonstrate":[151],"achieves":[154],"state-of-the-art":[155],"performance":[156],"various":[158],"benchmarks.":[159],"Our":[160],"code":[161],"is":[162],"available":[163],"at":[164],"https://github.com/Hifipsysta/GPLS.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
