{"id":"https://openalex.org/W4386598371","doi":"https://doi.org/10.1109/icip49359.2023.10222727","title":"Parallel Gradient Blend for Class Incremental Learning","display_name":"Parallel Gradient Blend for Class Incremental Learning","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386598371","doi":"https://doi.org/10.1109/icip49359.2023.10222727"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222727","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","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/A5100574259","display_name":"Yunlong Zhao","orcid":"https://orcid.org/0000-0002-2038-6540"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunlong Zhao","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China","School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086816845","display_name":"Xiaoheng Deng","orcid":"https://orcid.org/0000-0003-2740-8025"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoheng Deng","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China","School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081440831","display_name":"Xinjun Pei","orcid":"https://orcid.org/0000-0003-4772-7525"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjun Pei","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China","School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008951098","display_name":"Xuechen Chen","orcid":"https://orcid.org/0000-0002-7683-2933"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuechen Chen","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China","School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100671331","display_name":"Deng Li","orcid":"https://orcid.org/0000-0003-2206-6302"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deng Li","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China","School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100574259"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11405155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"1220","last_page":"1224"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T12676","display_name":"Machine Learning and ELM","score":0.9797999858856201,"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":0.9531999826431274,"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":0.6748501658439636},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6283679604530334},{"id":"https://openalex.org/keywords/proximal-gradient-methods","display_name":"Proximal Gradient Methods","score":0.5552597641944885},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5484299659729004},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5255666971206665},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5198893547058105},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5030807852745056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48540863394737244},{"id":"https://openalex.org/keywords/gradient-method","display_name":"Gradient method","score":0.46454548835754395},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.44983112812042236},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4407055079936981},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43255090713500977},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.3733091950416565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6748501658439636},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6283679604530334},{"id":"https://openalex.org/C10494615","wikidata":"https://www.wikidata.org/wiki/Q17086765","display_name":"Proximal Gradient Methods","level":4,"score":0.5552597641944885},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5484299659729004},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5255666971206665},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5198893547058105},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5030807852745056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48540863394737244},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.46454548835754395},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.44983112812042236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4407055079936981},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43255090713500977},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.3733091950416565},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222727","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2030481789","display_name":null,"funder_award_id":"62172449","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2460975407","display_name":null,"funder_award_id":"62172441","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3425285751","display_name":null,"funder_award_id":"2022-02","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8486038445","display_name":null,"funder_award_id":"81830007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320328839","display_name":"State Key Laboratory of Nickel and Cobalt Resources Comprehensive Utilization","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1945616565","https://openalex.org/W2194775991","https://openalex.org/W2473930607","https://openalex.org/W2551176409","https://openalex.org/W2554616628","https://openalex.org/W2560647685","https://openalex.org/W2786446225","https://openalex.org/W2806984819","https://openalex.org/W2902625698","https://openalex.org/W2962707369","https://openalex.org/W2963072899","https://openalex.org/W2963588172","https://openalex.org/W2963813679","https://openalex.org/W2964189064","https://openalex.org/W3097784654","https://openalex.org/W3118608800","https://openalex.org/W3168149265","https://openalex.org/W4221153115","https://openalex.org/W4226294369","https://openalex.org/W4287324708","https://openalex.org/W4287814827","https://openalex.org/W4289480063","https://openalex.org/W4295883599","https://openalex.org/W4298116016","https://openalex.org/W4301163820","https://openalex.org/W4312232016","https://openalex.org/W6638667902","https://openalex.org/W6640425456","https://openalex.org/W6741087337","https://openalex.org/W6741217325","https://openalex.org/W6747837551","https://openalex.org/W6751907932","https://openalex.org/W6757384668","https://openalex.org/W6762369100","https://openalex.org/W6764645560","https://openalex.org/W6776188292","https://openalex.org/W6787972765","https://openalex.org/W6791220681","https://openalex.org/W6809871153","https://openalex.org/W6810716034"],"related_works":["https://openalex.org/W2811217697","https://openalex.org/W4385644471","https://openalex.org/W4320495396","https://openalex.org/W4295266778","https://openalex.org/W2564172750","https://openalex.org/W2041341337","https://openalex.org/W2075334256","https://openalex.org/W2026452100","https://openalex.org/W2372778757","https://openalex.org/W2112655684"],"abstract_inverted_index":{"Neural":[0],"Networks\u2019":[1],"performance":[2],"on":[3,132],"a":[4,84,120],"sequence":[5],"of":[6,35],"incremental":[7],"class":[8],"tasks":[9,30],"drops":[10],"over":[11],"time":[12],"for":[13],"Class":[14],"Incremental":[15],"Learning":[16],"(IL).":[17],"The":[18],"gradient-based":[19],"IL":[20],"methods":[21,43,131],"can":[22],"simultaneously":[23],"adapt":[24],"to":[25,82,104,118],"both":[26],"new":[27,74],"and":[28,73],"previous":[29,72,98],"by":[31,70],"promoting":[32],"the":[33,38,46,62,67,93,97,107,112],"update":[34,87],"model":[36,86,94],"in":[37,76],"correct":[39],"direction.":[40,88],"However,":[41],"existing":[42],"simply":[44],"consider":[45],"previous/new":[47],"task":[48,99],"gradients":[49,68],"separately.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54,124],"propose":[55],"Parallel":[56],"Gradient":[57],"Blend":[58],"(PGB)":[59],"paradigm.":[60],"On":[61,106],"one":[63],"hand,":[64,109],"PGB":[65,110,128],"uses":[66,111],"generated":[69],"mixing":[71],"samples":[75],"equal":[77],"proportions":[78],"with":[79],"Batch-Normal":[80],"layers":[81],"adjust":[83],"reasonable":[85],"By":[89],"comparing":[90],"gradient":[91,100,103,115],"similarities,":[92],"selects":[95],"either":[96],"or":[101],"mixed":[102],"update.":[105],"other":[108],"sample":[113],"feature":[114],"distribution":[116],"difference":[117],"construct":[119],"regularized":[121],"gradient.":[122],"Finally,":[123],"experimentally":[125],"demonstrate":[126],"that":[127],"outperforms":[129],"state-of-the-art":[130],"class-IL":[133],"benchmarks.":[134]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}