{"id":"https://openalex.org/W4392796961","doi":"https://doi.org/10.1109/iscmi59957.2023.10458500","title":"DSS: A Diverse Sample Selection Method to Preserve Knowledge in Class-Incremental Learning","display_name":"DSS: A Diverse Sample Selection Method to Preserve Knowledge in Class-Incremental Learning","publication_year":2023,"publication_date":"2023-11-25","ids":{"openalex":"https://openalex.org/W4392796961","doi":"https://doi.org/10.1109/iscmi59957.2023.10458500"},"language":"en","primary_location":{"id":"doi:10.1109/iscmi59957.2023.10458500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscmi59957.2023.10458500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI)","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/A5092554421","display_name":"Sahil Nokhwal","orcid":"https://orcid.org/0009-0009-2404-6963"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sahil Nokhwal","raw_affiliation_strings":["University of Memphis,Dept. Computer Science,Memphis,USA","Dept. Computer Science, University of Memphis, Memphis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Memphis,Dept. Computer Science,Memphis,USA","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"Dept. Computer Science, University of Memphis, Memphis, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074936673","display_name":"Nirman Kumar","orcid":"https://orcid.org/0000-0001-6601-2790"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nirman Kumar","raw_affiliation_strings":["University of Memphis,Dept. Computer Science,Memphis,USA","Dept. Computer Science, University of Memphis, Memphis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Memphis,Dept. Computer Science,Memphis,USA","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"Dept. Computer Science, University of Memphis, Memphis, USA","institution_ids":["https://openalex.org/I94658018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1421,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83372021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"178","last_page":"182"},"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":0.8640999794006348,"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":0.8640999794006348,"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/computer-science","display_name":"Computer science","score":0.7306172847747803},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.692631185054779},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6208084225654602},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.59102863073349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5029327273368835},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49371060729026794},{"id":"https://openalex.org/keywords/sample-complexity","display_name":"Sample complexity","score":0.4158768653869629},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.41410428285598755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7306172847747803},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.692631185054779},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6208084225654602},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.59102863073349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5029327273368835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49371060729026794},{"id":"https://openalex.org/C2778445095","wikidata":"https://www.wikidata.org/wiki/Q18354077","display_name":"Sample complexity","level":2,"score":0.4158768653869629},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.41410428285598755},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscmi59957.2023.10458500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscmi59957.2023.10458500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W1973264045","https://openalex.org/W2187089797","https://openalex.org/W2554616628","https://openalex.org/W2560647685","https://openalex.org/W2786446225","https://openalex.org/W2954929116","https://openalex.org/W2964189064","https://openalex.org/W2982701845","https://openalex.org/W3097784654","https://openalex.org/W3098511564","https://openalex.org/W3125116114","https://openalex.org/W3175853876","https://openalex.org/W4295883599","https://openalex.org/W4385312871","https://openalex.org/W4386065591","https://openalex.org/W4391664450","https://openalex.org/W4392796961","https://openalex.org/W4392797060","https://openalex.org/W4404868957","https://openalex.org/W6741087337","https://openalex.org/W6747837551","https://openalex.org/W6859376491","https://openalex.org/W6860212961"],"related_works":["https://openalex.org/W2964179321","https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2607437843","https://openalex.org/W4295700147","https://openalex.org/W2963162727","https://openalex.org/W2346511343","https://openalex.org/W2106714532","https://openalex.org/W4297979791"],"abstract_inverted_index":{"Rehearsal-based":[0],"techniques":[1],"are":[2],"commonly":[3],"used":[4],"to":[5,77],"mitigate":[6],"catastrophic":[7],"forgetting":[8],"(CF)":[9],"in":[10,54],"Incremental":[11],"learning":[12,57],"(IL).":[13],"The":[14],"quality":[15],"of":[16,34,47],"the":[17,31,35,50,55],"exemplars":[18],"selected":[19,36],"is":[20,74],"important":[21],"for":[22],"this":[23],"purpose":[24],"and":[25,63,73,79],"most":[26],"methods":[27,72],"do":[28],"not":[29],"ensure":[30],"appropriate":[32],"diversity":[33],"exemplars.":[37],"We":[38],"propose":[39],"a":[40],"new":[41],"technique":[42],"\u201cDSS\u201d":[43],"-":[44],"Diverse":[45],"Selection":[46],"Samples":[48],"from":[49],"input":[51],"data":[52],"stream":[53],"Class-incremental":[56],"(CIL)":[58],"setup":[59],"under":[60],"both":[61],"disjoint":[62],"fuzzy":[64],"task":[65],"boundary":[66],"scenarios.":[67],"Our":[68],"method":[69],"outperforms":[70],"state-of-the-art":[71],"much":[75],"simpler":[76],"understand":[78],"implement.":[80]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}