{“id”:“https://openalex.org/W4391591197“,”doi“:”https://doi.org/10.48550/arxiv.2402.02561“,”title“:”Foundation Model Makes Clustering a Better Initialization for Active Learning“,”display_name“:”基础模型使群集成为主动学习的更好初始化“,”publication_year“:2024,”publitation_date“:”2024-02-04“,”ids“:{”openalex“:”https://openalex.org/W4391591197“,”doi“:”https://doi.org/10.48550/arxiv.2402.02561“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/2402.02561,“pdf_url”:https://arxiv.org/pdf/2402.02561,“源”:{“id”:https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is.in_doaj“:false,”is_core“:fase,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”Cornell University“],“type”:“repository”},“license”:null,“licence_id”:null,“version”:“submittedVersion”,“is_accepted”:false,“is_published”:false},”type“:”preprint“,”type_crossref“:“posted-content”,“indexed_in”:[”arxiv“],‘open_access’:{”is_oa“:true,”“oa_status”:“green”,“oa_url”:“https://arxiv.org/pdf/2402.02561“,”any_repository_has_fulltext“:true},”authorships“:[{”author_position“:”第一“,”作者“:{”id“:”https://openalex.org/A5102012556“,”display_name“:”韩元“,”兽人“:”https://orcid.org/0000-0002-6985-6232“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”袁,韩“,”raw关联字符串“:[],“隶属关系”:[]},{“author_position”:“last”,“author”:{“id”:“”https://openalex.org/A5052512997“,”display_name“:”川红“,”orcid“:”https://orcid.org/0000-0001-7056-9559“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”Hong,Chuan“,”raw _ afiliation_strings“:[],“affiliations”:[]}],“institution_assertions”:[]、“countries _ distinct_count”:0、“institations _ disting_count“:0,”corresponding_author_ids“:[].”、“correspounding_institution_ids”:[]、“apc_list”:null,“apc_payed”:null,“fwci”:nullhas_fulltext“:false,”cited_by_count“:0,”citation_normalized_percentile“:{”value“:0.0,”is_in_top_1_percent“:false},”cited_by_percentile_year“:{“min”:0,“max”:85},“biblio”:{“volume”:null,“issue”:null,“first_page”:nully,“last_page”:null},‘is_retracted’:false _主题“:{”id“:”https://openalex.org/T12072“,”“display_name”:“机器学习研究中的主动学习”,“score”:0.8736,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T12072“,”“display_name”:“机器学习研究中的主动学习”,“score”:0.8736,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/foundation网站“,”display_name“:”基础(证据)“,”分数“:0.7960174},{”id“:”https://openalex.org/keywords/initialization网站“,”display_name“:”初始化“,”score“:0.77905554},{”id“:”https://openalex.org/keywords/active-learning网站“,”display_name“:”主动学习“,”score“:0.585169}],”concepts“:[{”id“:”https://openalex.org/C2780966255,“wikidata”:https://www.wikidata.org/wiki/Q5474306“,”display_name“:”基础(证据)“,”级别“:2,”分数“:0.7960174},{”id“:”https://openalex.org/C114466953,“wikidata”:https://www.wikidata.org/wiki/Q6034165“,”display_name“:”初始化“,”级别“:2,”分数“:0.77905554},{”id“:”https://openalex.org/C73555534,“wikidata”:https://www.wikidata.org/wiki/Q622825“,”display_name“:”聚类分析“,”level“:2,”score“:0.69450766},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.51674646},{”id“:”https://openalex.org/C77967617,“wikidata”:https://www.wikidata.org/wiki/Q4677561“,”display_name“:”主动学习(机器学习)“,”level“:2,”score“:0.47656134},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.45878178},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539“,”display_name“:”机器学习“,”level“:1,”score“:0.33645946},{”id“:”https://openalex.org/C17744445,“wikidata”:https://www.wikidata.org/wiki/Q36442“,”display_name“:”政治学“,”level“:0,”score“:0.12916374},{”id“:”https://openalex.org/C199360897,“wikidata”:https://www.wikidata.org/wiki/Q9143“,”display_name“:”编程语言“,”level“:1,”score“:0.10843375},{”id“:”https://openalex.org/C199539241,“wikidata”:https://www.wikidata.org/wiki/Q7748“,”display_name“:”Law“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/2402.02561,“pdf_url”:https://arxiv.org/pdf/2402.02561,“源”:{“id”:https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is.in_doaj“:false,”is_core“:fase,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:null,“licence_id”:null,“version”:“submittedVersion”,“is_accepted”:false,“is_published”:false}],“best_oa_location”:{“is_oa”:true,“landing_page_url”:“https://arxiv.org/abs/2402.02561,“pdf_url”:https://arxiv.org/pdf/2402.02561,“源”:{“id”:https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is.in_doaj“:false,”is_core“:fase,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:null,“licence_id”:null,“version”:“submittedVersion”,“is_accepted”:false,“is_published”:false},”sustainable_development_goals“:[],“grants”:[]https://openalex.org/W4206195464","https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W3095877357","https://openalex.org/W3031039437","https://openalex.org/W2355833770","https://openalex.org/W2072565696","https://openalex.org/W1985458517","https://openalex.org/W183202219","https://openalex.org/W10861731“],”abstract_inverted_index“:{”Active“:[0],”learning“:[1106],”selects“:[2],”the“:[3,8,14,42,55118192],”most“:[4],”informative“:[5125182],”samples“:[6,49103],”from“:[7,76],”unlabeled“:[9],”dataset“:[10],”to“:[11,41,59,70,94101111136162186],”annotate“:[12],”in“:[13],”context“:[15],”of“:[16,45,54123170],”a“:[17153158],”limited“:[18],”注释“:[19],”预算。“:[20],”While“:[21],”mannumber“:[22],”methods“:[23100],”have“:[24],”been“:[25,39],”proposed“:[26],”for“:[27,50104129204],”sequent“:[28],”sample“:[29],”selection“:[30],”based“:[31],”on“:[32114166],”an“:[33201],”initialized“:[34],”model“:[35],”scant“:[36],”attention“:[37],”has“:[38],”payed“:[40],”impersistent“:[43],”phase“:[44],”活动”:[46105206],“学习”:[47],“选择”:[48],“模型”:[51161],“初始化。“:[52107],“大多数”:[53],“以前的”:[56],“研究”:[57],“度假村”:[58],“随机”:[60,66],“抽样”:[61,67],“或”:[62],“天真”:[63,73],“聚类”:[64],“然而”:[65],“是”:[68],“易发”:[69],“波动”:[71],“和”:[72121126147173],“聚集”:[74,99144179],“遭受”:[75],“收敛”:[77],“速度”:[78],“特别是”:[79],“时间”:[80],“处理“:[81],”与“:[82,98],”高维“:[83],”数据“:[84],”这样的“:[85140],”如“:[86141],”成像“:[87],“数据。“:[88],“In”:[89],“this”:[90198],“work”,:[91],“we”:[22156],“suggest”:[93],“integrate”:[95],“foundation”:[96177],“models”:[97109187],“select”:[102],“foundation”:[108],“refer”:[110],“these”:[112],“trained”:[113],“massible”:[115],“dataset”:[116],“by”:[117],“autopervised”:[119],“范例”:[120203],“能力”:[122],“生成”:[124],“compacted“:[127],”embeddings“:[128135],”variable“:[130],”downstream“:[131],”tasks。“:[132],“利用”:[133],“这些”:[134],“替换”:[137],“原始”:[138],“特征”:[139],“像素”:[142],“值”,“:[143],“快速”:[145],“收敛”:[146],“标识”:[148],“更好”:[149],“初始”:[150183],“样本”。“:[151],”对于“:[152],”综合“:[154],”比较“:[155],”包括“:[157],”经典“:[159],”ImageNet-supervised“:[160],”获取“:[163],”嵌入。“:[164],“实验”:[165],“两个”:[167],“临床”:[168],“任务”:[169],“图像”:[171],“分类”:[172],“分割”:[174],“演示”:[175],“that”:[176197],“基于模型”:[178],“高效”:[180],“精确定位”:[181],“样本”:[184],“领先”:[185],“展示”:[188],“增强”:[189],“性能”:[190],“比”:[191],“基线”:[193],“方法。“:[194],“我们”:[195],“设想”:[196],“研究”:[199],“提供”:[200],“有效”:[202],“未来”:[205],“学习”。“:[207]},”引用_by_api_url“:”https://api.openalex.org/works?filter=cites:W4391591197“,”counts_by_year“:[],”updated_date“:”2024-09-14T15:53:20.627400“,”created_date:“2024-02-07”}“