{"id":"https://openalex.org/W7127566773","doi":"https://doi.org/10.48550/arxiv.2602.03124","title":"Feature, Alignment, and Supervision in Category Learning: A Comparative Approach with Children and Neural Networks","display_name":"Feature, Alignment, and Supervision in Category Learning: A Comparative Approach with Children and Neural Networks","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7127566773","doi":"https://doi.org/10.48550/arxiv.2602.03124"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.03124","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016096909","display_name":"Fanxiao Wani Qiu","orcid":"https://orcid.org/0000-0002-8340-1293"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qiu, Fanxiao Wani","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5089517213","display_name":"Oscar Leong","orcid":"https://orcid.org/0000-0003-1737-3981"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leong, Oscar","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016096909"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10656","display_name":"Child and Animal Learning Development","score":0.6395000219345093,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10656","display_name":"Child and Animal Learning Development","score":0.6395000219345093,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","score":0.08309999853372574,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.05829999968409538,"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/feature","display_name":"Feature (linguistics)","score":0.6887999773025513},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5831000208854675},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5684999823570251},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5408999919891357},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5098000168800354},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.43220001459121704},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.37610000371932983}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6887999773025513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6243000030517578},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5831000208854675},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5684999823570251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5425999760627747},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5408999919891357},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5098000168800354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4909000098705292},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.43220001459121704},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36820000410079956},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.367000013589859},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C48164120","wikidata":"https://www.wikidata.org/wiki/Q4491893","display_name":"Concept learning","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.27799999713897705},{"id":"https://openalex.org/C80864568","wikidata":"https://www.wikidata.org/wiki/Q950464","display_name":"Comparative method","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2637999951839447},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.2578999996185303}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.03124","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.03124","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.03124","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.03124","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.42427194118499756}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"how":[1],"humans":[2],"and":[3,14,24,52,66,84,101,131],"machines":[4],"learn":[5],"from":[6,76],"sparse":[7],"data":[8],"is":[9],"central":[10],"to":[11,40,86],"cognitive":[12],"science":[13],"machine":[15],"learning.":[16,111],"Using":[17],"a":[18,30,90],"species-fair":[19],"design,":[20],"we":[21,56],"compare":[22],"children":[23,73],"convolutional":[25],"neural":[26],"networks":[27],"(CNNs)":[28],"in":[29],"few-shot":[31],"semi-supervised":[32],"category":[33],"learning":[34],"task.":[35],"Both":[36],"learners":[37],"are":[38],"exposed":[39],"novel":[41],"object":[42],"categories":[43],"under":[44,121],"identical":[45],"conditions.":[46],"Learners":[47],"receive":[48],"mixtures":[49],"of":[50],"labeled":[51],"unlabeled":[53],"exemplars":[54],"while":[55],"vary":[57],"supervision":[58,95,108],"(1/3/6":[59],"labels),":[60],"target":[61],"feature":[62,102,129],"(size,":[63],"shape,":[64],"pattern),":[65],"perceptual":[67],"alignment":[68,100,132],"(high/low).":[69],"We":[70],"find":[71],"that":[72,115],"generalize":[74],"rapidly":[75],"minimal":[77],"labels":[78],"but":[79,98],"show":[80,89,114],"strong":[81],"feature-specific":[82],"biases":[83],"sensitivity":[85],"alignment.":[87],"CNNs":[88],"different":[91],"interaction":[92],"profile:":[93],"added":[94],"improves":[96],"performance,":[97],"both":[99],"structure":[103],"moderate":[104],"the":[105,122],"impact":[106],"additional":[107],"has":[109],"on":[110],"These":[112],"results":[113],"human-model":[116],"comparisons":[117],"must":[118],"be":[119],"drawn":[120],"right":[123],"conditions,":[124],"emphasizing":[125],"interactions":[126],"among":[127],"supervision,":[128],"structure,":[130],"rather":[133],"than":[134],"overall":[135],"accuracy.":[136]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-06T00:00:00"}
