{"id":"https://openalex.org/W2797513121","doi":"https://doi.org/10.1145/3205455.3205615","title":"Combating catastrophic forgetting with developmental compression","display_name":"Combating catastrophic forgetting with developmental compression","publication_year":2018,"publication_date":"2018-07-02","ids":{"openalex":"https://openalex.org/W2797513121","doi":"https://doi.org/10.1145/3205455.3205615","mag":"2797513121"},"language":"en","primary_location":{"id":"doi:10.1145/3205455.3205615","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3205455.3205615","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205615","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":null,"license_id":null,"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":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205615","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shawn L. E. Beaulieu","orcid":null},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shawn L. E. Beaulieu","raw_affiliation_strings":["University of Vermont"],"affiliations":[{"raw_affiliation_string":"University of Vermont","institution_ids":["https://openalex.org/I111236770"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sam Kriegman","orcid":null},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sam Kriegman","raw_affiliation_strings":["University of Vermont"],"affiliations":[{"raw_affiliation_string":"University of Vermont","institution_ids":["https://openalex.org/I111236770"]}]},{"author_position":"last","author":{"id":null,"display_name":"Josh C. Bongard","orcid":null},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Josh C. Bongard","raw_affiliation_strings":["University of Vermont"],"affiliations":[{"raw_affiliation_string":"University of Vermont","institution_ids":["https://openalex.org/I111236770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111236770"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02917981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"386","last_page":"393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.3562000095844269,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.3562000095844269,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.2361000031232834,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.12549999356269836,"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/forgetting","display_name":"Forgetting","score":0.7455000281333923},{"id":"https://openalex.org/keywords/bespoke","display_name":"Bespoke","score":0.6470000147819519},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.590499997138977},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.5407000184059143},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4884999990463257},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4343999922275543},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.39750000834465027},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3531999886035919}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7455000281333923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7164000272750854},{"id":"https://openalex.org/C44210515","wikidata":"https://www.wikidata.org/wiki/Q16968978","display_name":"Bespoke","level":2,"score":0.6470000147819519},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.590499997138977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5575000047683716},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.5407000184059143},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4884999990463257},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4343999922275543},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41339999437332153},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.39750000834465027},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.28189998865127563},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C172191483","wikidata":"https://www.wikidata.org/wiki/Q1071806","display_name":"Provisioning","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.2630999982357025},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3205455.3205615","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3205455.3205615","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205615","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":null,"license_id":null,"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:1804.04286","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.04286","pdf_url":"https://arxiv.org/pdf/1804.04286","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:10.1145/3205455.3205615","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3205455.3205615","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205615","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":null,"license_id":null,"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/G7749644808","display_name":null,"funder_award_id":"HR0011-18-2-0022","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G8839143429","display_name":null,"funder_award_id":"HR0011-18-2-002","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2797513121.pdf","grobid_xml":"https://content.openalex.org/works/W2797513121.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1489863191","https://openalex.org/W1968172394","https://openalex.org/W1987693278","https://openalex.org/W2019625726","https://openalex.org/W2020399841","https://openalex.org/W2022485595","https://openalex.org/W2028932074","https://openalex.org/W2076402663","https://openalex.org/W2082582863","https://openalex.org/W2083426690","https://openalex.org/W2097351860","https://openalex.org/W2108076410","https://openalex.org/W2111935653","https://openalex.org/W2126606094","https://openalex.org/W2527072531","https://openalex.org/W2560647685","https://openalex.org/W2630981662","https://openalex.org/W2735996609","https://openalex.org/W2962773240"],"related_works":[],"abstract_inverted_index":{"Generally":[0],"intelligent":[1],"agents":[2],"exhibit":[3],"successful":[4],"behavior":[5],"across":[6],"problems":[7],"in":[8,12,18,29,198],"several":[9],"settings.":[10],"Endemic":[11],"approaches":[13,80],"to":[14,46,55,61,65,101,129,133,162,189,193],"realize":[15],"such":[16,68],"intelligence":[17],"machines":[19],"is":[20],"catastrophic":[21,42,116],"forgetting:":[22],"sequential":[23],"learning":[24,60,196],"corrupts":[25],"knowledge":[26],"obtained":[27],"earlier":[28],"the":[30,52,89,99,107,123,146,160,199],"sequence,":[31],"or":[32,64],"tasks":[33],"antagonistically":[34],"compete":[35],"for":[36,40,103,114,167],"system":[37,53,100,166],"resources.":[38],"Methods":[39],"obviating":[41],"forgetting":[43,117],"have":[44],"sought":[45],"identify":[47],"and":[48,136,171,187],"preserve":[49],"features":[50],"of":[51,91,98,106,126,148],"necessary":[54],"solve":[56,62],"one":[57],"problem":[58,186],"when":[59],"another,":[63],"enforce":[66],"modularity":[67],"that":[69,155],"minimally":[70],"overlapping":[71],"sub-functions":[72],"contain":[73],"task":[74,169],"specific":[75],"knowledge.":[76],"While":[77],"successful,":[78],"both":[79],"scale":[81],"poorly":[82],"because":[83],"they":[84],"require":[85],"larger":[86],"architectures":[87],"as":[88],"number":[90],"training":[92],"instances":[93],"grows,":[94],"causing":[95],"different":[96],"parts":[97],"specialize":[102],"separate":[104],"subsets":[105],"data.":[108],"Here":[109],"we":[110],"present":[111],"a":[112,142,164,183],"method":[113,181],"addressing":[115],"called":[118],"developmental":[119,127,151],"compression.":[120],"It":[121],"exploits":[122],"mild":[124],"impacts":[125],"mutations":[128],"lessen":[130],"adverse":[131],"changes":[132],"previously-evolved":[134],"capabilities":[135],"'compresses'":[137],"specialized":[138],"neural":[139],"networks":[140],"into":[141],"generalized":[143],"one.":[144],"In":[145],"absence":[147],"domain":[149],"knowledge,":[150],"compression":[152],"produces":[153],"systems":[154],"avoid":[156],"overt":[157],"specialization,":[158],"alleviating":[159],"need":[161],"engineer":[163],"bespoke":[165],"every":[168],"permutation":[170],"suggesting":[172],"better":[173],"scalability":[174],"than":[175],"existing":[176],"approaches.":[177],"We":[178],"validate":[179],"this":[180,191],"on":[182],"robot":[184],"control":[185],"hope":[188],"extend":[190],"approach":[192],"other":[194],"machine":[195],"domains":[197],"future.":[200]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2018-04-24T00:00:00"}
