{"id":"https://openalex.org/W4285734686","doi":"https://doi.org/10.1145/3512290.3528694","title":"Evolving transferable neural pruning functions","display_name":"Evolving transferable neural pruning functions","publication_year":2022,"publication_date":"2022-07-08","ids":{"openalex":"https://openalex.org/W4285734686","doi":"https://doi.org/10.1145/3512290.3528694"},"language":"en","primary_location":{"id":"doi:10.1145/3512290.3528694","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3512290.3528694","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3512290.3528694","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3512290.3528694","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100373052","display_name":"Yuchen Liu","orcid":"https://orcid.org/0000-0002-5376-0017"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuchen Liu","raw_affiliation_strings":["Princeton University"],"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072714962","display_name":"Sun\u2010Yuan Kung","orcid":"https://orcid.org/0000-0002-7314-0720"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Y. Kung","raw_affiliation_strings":["Princeton University"],"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080019688","display_name":"David Wentzlaff","orcid":"https://orcid.org/0000-0002-6337-5630"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Wentzlaff","raw_affiliation_strings":["Princeton University"],"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100373052"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":0.1043,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.2673026,"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":"385","last_page":"394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","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/T11975","display_name":"Evolutionary Algorithms and Applications","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/T12535","display_name":"Machine Learning and Data Classification","score":0.9894000291824341,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9848999977111816,"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/pruning","display_name":"Pruning","score":0.861991286277771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.777931809425354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6479750871658325},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6002009510993958},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5603973865509033},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.522190511226654},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5091058611869812},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5044058561325073},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44114652276039124},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.4365697503089905}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.861991286277771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.777931809425354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6479750871658325},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6002009510993958},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5603973865509033},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.522190511226654},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5091058611869812},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5044058561325073},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44114652276039124},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.4365697503089905},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3512290.3528694","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3512290.3528694","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3512290.3528694","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2110.10876","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.10876","pdf_url":"https://arxiv.org/pdf/2110.10876","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3512290.3528694","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3512290.3528694","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3512290.3528694","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5836735981","display_name":null,"funder_award_id":"CCF-1822949","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6637294948","display_name":"SPX: Collaborative Research: Rethinking Data Center Abstractions Utilizing Warehouse-Scale Shared Memory","funder_award_id":"1822949","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309949","display_name":"Canadian Institute for Advanced Research","ror":"https://ror.org/01sdtdd95"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285734686.pdf","grobid_xml":"https://content.openalex.org/works/W4285734686.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1492753585","https://openalex.org/W1596936080","https://openalex.org/W2108598243","https://openalex.org/W2109363337","https://openalex.org/W2112796928","https://openalex.org/W2128036349","https://openalex.org/W2171658832","https://openalex.org/W2593744649","https://openalex.org/W2604998962","https://openalex.org/W2606006859","https://openalex.org/W2607589993","https://openalex.org/W2798170643","https://openalex.org/W2886851211","https://openalex.org/W2906697496","https://openalex.org/W2928560789","https://openalex.org/W2962851801","https://openalex.org/W2963140066","https://openalex.org/W2963145730","https://openalex.org/W2963163009","https://openalex.org/W2963363373","https://openalex.org/W2963821229","https://openalex.org/W2963918968","https://openalex.org/W2964081807","https://openalex.org/W2964233199","https://openalex.org/W2965658867","https://openalex.org/W2966256598","https://openalex.org/W2980137827","https://openalex.org/W2984618279","https://openalex.org/W3034408420","https://openalex.org/W3035467254","https://openalex.org/W3039758208","https://openalex.org/W3104263540","https://openalex.org/W3173390350","https://openalex.org/W3174038839","https://openalex.org/W3175827441","https://openalex.org/W3192333284","https://openalex.org/W4205148124","https://openalex.org/W4240003589","https://openalex.org/W4255158661","https://openalex.org/W4321359614","https://openalex.org/W4401201189","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W4375867731","https://openalex.org/W2395294869","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W4206442282","https://openalex.org/W2384505857","https://openalex.org/W2355171581"],"abstract_inverted_index":{"Structural":[0],"design":[1,99],"of":[2,10,26,84],"neural":[3],"networks":[4,139],"is":[5,118,162],"crucial":[6],"for":[7,66,124,140],"the":[8,24,82,121,160,183],"success":[9],"deep":[11,49],"learning.":[12],"While":[13,159],"most":[14],"prior":[15,54,130],"works":[16],"in":[17,46,182],"evolutionary":[18],"learning":[19,50],"aim":[20],"at":[21],"directly":[22],"searching":[23],"structure":[25],"a":[27,63,97],"network,":[28],"few":[29],"attempts":[30],"have":[31],"been":[32],"made":[33,43],"on":[34,120,164,188],"another":[35],"promising":[36,170],"track,":[37],"channel":[38,67],"pruning,":[39,68],"which":[40,69,108,148],"recently":[41],"has":[42],"major":[44],"headway":[45],"designing":[47],"efficient":[48,141],"models.":[51],"In":[52],"fact,":[53],"pruning":[55,59,91,106,146,157,195],"methods":[56],"adopt":[57],"human-made":[58],"functions":[60,123,168],"to":[61,88,101,155,174],"score":[62],"channel's":[64],"importance":[65],"requires":[70],"domain":[71],"knowledge":[72],"and":[73,104,143,152],"could":[74],"be":[75],"sub-optimal.":[76],"To":[77],"this":[78],"end,":[79],"we":[80,95],"pioneer":[81],"use":[83],"genetic":[85],"programming":[86],"(GP)":[87],"discover":[89],"strong":[90],"metrics":[92,147],"automatically.":[93],"Specifically,":[94],"craft":[96],"novel":[98,144],"space":[100],"express":[102],"high-quality":[103],"transferable":[105],"functions,":[107],"ensures":[109],"an":[110,190],"end-to-end":[111],"evolution":[112,161,184],"process":[113],"where":[114],"no":[115],"manual":[116],"modification":[117],"needed":[119],"evolved":[122,191],"their":[125],"transferability":[126],"after":[127],"evolution.":[128],"Unlike":[129],"methods,":[131],"our":[132,167],"approach":[133],"can":[134],"provide":[135],"both":[136],"compact":[137],"pruned":[138],"inference":[142],"closed-form":[145],"are":[149],"mathematically":[150],"explainable":[151],"thus":[153],"generalizable":[154],"different":[156,178],"tasks.":[158],"conducted":[163],"small":[165],"datasets,":[166,177],"shows":[169],"results":[171],"when":[172],"applied":[173],"more":[175],"challenging":[176],"from":[179],"those":[180],"used":[181],"process.":[185],"For":[186],"example,":[187],"ILSVRC-2012,":[189],"function":[192],"achieves":[193],"state-of-the-art":[194],"results.":[196]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}