{"id":"https://openalex.org/W4415974431","doi":"https://doi.org/10.1016/j.procs.2025.09.254","title":"Capacity-aware learning by rejecting complex samples","display_name":"Capacity-aware learning by rejecting complex samples","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415974431","doi":"https://doi.org/10.1016/j.procs.2025.09.254"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2025.09.254","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.254","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2025.09.254","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119743506","display_name":"Ali Khudiyev","orcid":null},"institutions":[{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]},{"id":"https://openalex.org/I136806742","display_name":"Azerbaijan State Oil and Industry University","ror":"https://ror.org/05mmnns11","country_code":"AZ","type":"education","lineage":["https://openalex.org/I136806742"]},{"id":"https://openalex.org/I4210100283","display_name":"Laboratoire des Sciences de l'Ing\u00e9nieur, de l'Informatique et de l'Imagerie","ror":"https://ror.org/00k4e5n71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2801509770","https://openalex.org/I4210095849","https://openalex.org/I4210100283","https://openalex.org/I4210159245","https://openalex.org/I68947357"]}],"countries":["AZ","FR"],"is_corresponding":true,"raw_author_name":"Ali Khudiyev","raw_affiliation_strings":["Azerbaijan State Oil and Industry University, 34 Azadliq Avenue, AZ1010 Baku, Azerbaijan","University of Strasbourg, 4 rue Blaise Pascal, 67000 Strasbourg, France","Azerbaijan State Oil and Industry University, Azerbaijan (Azerbaijan)","ICube - Laboratoire des sciences de l'ing\u00e9nieur, de l'informatique et de l'imagerie (300 bd S\u00e9bastien Brant - BP 10413 - F-67412 Illkirch Cedex - France)"],"affiliations":[{"raw_affiliation_string":"Azerbaijan State Oil and Industry University, 34 Azadliq Avenue, AZ1010 Baku, Azerbaijan","institution_ids":["https://openalex.org/I136806742"]},{"raw_affiliation_string":"University of Strasbourg, 4 rue Blaise Pascal, 67000 Strasbourg, France","institution_ids":["https://openalex.org/I68947357"]},{"raw_affiliation_string":"Azerbaijan State Oil and Industry University, Azerbaijan (Azerbaijan)","institution_ids":["https://openalex.org/I136806742"]},{"raw_affiliation_string":"ICube - Laboratoire des sciences de l'ing\u00e9nieur, de l'informatique et de l'imagerie (300 bd S\u00e9bastien Brant - BP 10413 - F-67412 Illkirch Cedex - France)","institution_ids":["https://openalex.org/I4210100283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119743507","display_name":"Anne Jeannin-Girardon","orcid":null},"institutions":[{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]},{"id":"https://openalex.org/I4210100283","display_name":"Laboratoire des Sciences de l'Ing\u00e9nieur, de l'Informatique et de l'Imagerie","ror":"https://ror.org/00k4e5n71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2801509770","https://openalex.org/I4210095849","https://openalex.org/I4210100283","https://openalex.org/I4210159245","https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anne Jeannin-Girardon","raw_affiliation_strings":["University of Strasbourg, 4 rue Blaise Pascal, 67000 Strasbourg, France","ICube - Laboratoire des sciences de l'ing\u00e9nieur, de l'informatique et de l'imagerie (300 bd S\u00e9bastien Brant - BP 10413 - F-67412 Illkirch Cedex - France)"],"affiliations":[{"raw_affiliation_string":"University of Strasbourg, 4 rue Blaise Pascal, 67000 Strasbourg, France","institution_ids":["https://openalex.org/I68947357"]},{"raw_affiliation_string":"ICube - Laboratoire des sciences de l'ing\u00e9nieur, de l'informatique et de l'imagerie (300 bd S\u00e9bastien Brant - BP 10413 - F-67412 Illkirch Cedex - France)","institution_ids":["https://openalex.org/I4210100283"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5119743506"],"corresponding_institution_ids":["https://openalex.org/I136806742","https://openalex.org/I4210100283","https://openalex.org/I68947357"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18187789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"270","issue":null,"first_page":"1331","last_page":"1340"},"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":0.6830999851226807,"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":0.6830999851226807,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.07289999723434448,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.04089999943971634,"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/inference","display_name":"Inference","score":0.7297999858856201},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6474999785423279},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5914999842643738},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.510200023651123},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.35600000619888306},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3449000120162964},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.31299999356269836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.870199978351593},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7297999858856201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6934000253677368},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6474999785423279},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6047000288963318},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5914999842643738},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.510200023651123},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.35600000619888306},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.27070000767707825},{"id":"https://openalex.org/C32254414","wikidata":"https://www.wikidata.org/wiki/Q4724364","display_name":"Algorithmic learning theory","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.2628999948501587}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2025.09.254","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.254","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2025.09.254","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.254","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2011307332","https://openalex.org/W2024046085","https://openalex.org/W2046995465","https://openalex.org/W2067885219","https://openalex.org/W2070534370","https://openalex.org/W2103994288","https://openalex.org/W2118377301","https://openalex.org/W2134177842","https://openalex.org/W2137983211","https://openalex.org/W2142399242","https://openalex.org/W2295598076","https://openalex.org/W2791460829","https://openalex.org/W2886851211","https://openalex.org/W2897443538","https://openalex.org/W2964166963","https://openalex.org/W2968325077","https://openalex.org/W2980232223","https://openalex.org/W3014666486","https://openalex.org/W3183516990","https://openalex.org/W3207834825","https://openalex.org/W4290927804","https://openalex.org/W4385764239"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"learning":[1,146,200],"(DL)":[2],"has":[3],"achieved":[4],"significant":[5,59,124],"success":[6],"in":[7,147,189,197],"tackling":[8],"complex":[9,100],"tasks,":[10],"largely":[11],"due":[12],"to":[13,44,74,116,134,167,209],"insights":[14],"from":[15,183],"the":[16,22,36,39,135,152,158,169,181,198,213],"universal":[17],"approximation":[18],"theorem,":[19],"which":[20],"emphasizes":[21],"importance":[23],"of":[24,38,126],"appropriate":[25],"model":[26,79,217],"scaling.":[27],"Scaling":[28],"laws":[29],"further":[30],"show":[31],"a":[32,89,96,123],"direct":[33],"relationship":[34],"between":[35],"size":[37],"models":[40,50,63,84,161,195],"and":[41,81,143,165],"their":[42],"capacity":[43],"learn":[45],"difficult":[46],"tasks.":[47],"Although":[48],"DL":[49,148],"work":[51,86],"well":[52,87],"with":[53,95],"substantial":[54],"computational":[55,127],"resources,":[56],"this":[57,103,141],"incurs":[58],"costs.":[60],"Firstly,":[61],"many":[62],"do":[64],"not":[65,105],"deliver":[66],"satisfactory":[67],"results":[68,188],"until":[69],"extensive":[70],"experimentation":[71],"is":[72,129,218],"conducted":[73],"find":[75],"out":[76],"an":[77],"optimal":[78],"architecture":[80],"size.":[82],"Secondly,":[83],"that":[85,194,205],"for":[88],"certain":[90],"task":[91],"fail":[92],"when":[93],"faced":[94],"new":[97],"or":[98],"more":[99],"task,":[101],"however,":[102],"does":[104],"imply":[106],"they":[107],"should":[108],"be":[109,117],"discarded":[110],"as":[111],"merely":[112],"\u201cexperimental":[113],"studies\u201d":[114],"never":[115],"used":[118],"again.":[119],"In":[120,157,212],"either":[121],"case,":[122],"amount":[125],"power":[128],"wasted":[130],"before":[131],"making":[132],"it":[133],"final":[136,177],"inference":[137],"stage.":[138],"To":[139],"address":[140],"issue":[142],"enable":[144],"incremental":[145,203],"models,":[149],"we":[150],"propose":[151],"Capacity-Aware":[153],"Learning":[154],"(CAL)":[155],"framework.":[156],"CAL":[159,214],"framework,":[160,215],"are":[162,202,206],"trained":[163,196],"sequentially":[164],"separately":[166],"capture":[168],"decision-making":[170,178],"aspects":[171],"overlooked":[172],"by":[173],"previous":[174],"models.":[175,185],"The":[176],"process":[179],"aggregates":[180],"outcomes":[182],"all":[184],"Our":[186],"experimental":[187],"image":[190],"reconstruction":[191],"tasks":[192],"demonstrate":[193],"capacity-aware":[199],"setting":[201],"learners":[204],"also":[207],"prone":[208],"catastrophic":[210],"forgetting.":[211],"no":[216],"left":[219],"behind.":[220]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-06T00:00:00"}