{“id”:“https://openalex.org/W4319653493“,”doi“:”https://doi.org/10.48550/arxiv.2302.03115“,”title“:”Easy Learning from Label Proportions“,”display_name“:”轻松学习标签比例“,”publication_year“:2023,”publiation_date“:”2023-01-01“,”ids“:{”openalex“:”https://openalex.org/W4319653493“,”doi“:”https://doi.org/10.44850/arxiv.232.03115“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/2302.03115“,”pdf_url“:空,”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,”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”:“cc-by”,“licence_id”:“https://openalex.org/licenses/cc-by“,”version“:”submittedVersion“,”is_accepted“:false,”is_published“:false},”type“:”预印本“,”type_crossref“:”发布的内容“,”indexed_in“:[”arxiv“,”datacite“],”open_access“:{”is_oa“:true,”oa_status“:”green“,”oa_url“:”https://arxiv.org/abs/2302.03115“,”any_repository_has_fulltext“:true},”authorships“:[{”author_position“:”第一“,”作者“:{”id“:”https://openalex.org/A5073592071“,”display_name“:”Robert Istvan Busa-Fekete“,”orcid“:null},”institutions“:[],”countries“:[],”is_corresponding“:false,”raw_author_name“:”Busa-Fekete,Robert Istvan“,”raw _affiliation_strings“:【】},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5032714674“,”display_name“:”Heejin Choi“,”orcid“:”https://orcid.org/0000-0003-3681-7410“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”Choi,Heejin“,”raw_affiliation_strings“:[]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5090992760“,”display_name“:”Travis Dick“,”orcid“:”https://orcid.org/0009-0005-1271-307X“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:Dick,Travis”,“raw_affiliation_strings”:[]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5091448045“,”display_name“:”Claudio Gentile“,”orcid“:”https://orcid.org/0000-0003-3757-6188“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”Gentile,Claudio“,”raw_affiliation_strings“:[]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5031299307“,”display_name“:”Andr\u00e9s Mu\u00f1oz Medina“,”orcid“:”https://orcid.org/0009-0003-5520-4916“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”medina,Andres Munoz“,”raw _ afiliation_strings“:[]}],”countries _ distinct_count“:0,”机构_ distinct _count”:0,“corresponding_author_ids”:[],“correcponding_institution_ids“:[]”,“apc_list”:null,“apc _ paid”:nul,“has_fulltext”:false、“cited_by_count“:0,”cited_by_percentile_year“:{“min”:0,“max”:78},“biblio”:{卷:null,“问题”:nullhttps://openalex.org/T12535“,”“display_name”:“机器学习中带噪声标签的学习”,“score”:0.9982,“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/T12535“,”“display_name”:“机器学习中带噪声标签的学习”,“score”:0.9982,“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“}},{”id“:”https://openalex.org/T12072“,”“display_name”:“机器学习研究中的主动学习”,“score”:0.9963,“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“}},{”id“:”https://openalex.org/T11652“,”“display_name”:“处理分类问题中的不平衡数据”,“score”:0.9886,“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/robust-learning“,”display_name“:”稳健学习“,”score“:0.576259},{”id“:”https://openalex.org/keywords/成本敏感性学习“,”display_name“:”成本敏感型学习“,”score“:0.539827},{”id“:”https://openalex.org/keywords/semi-supervised-learning网站“,”display_name“:”半监督学习“,”score“:0.529575},{”id“:”https://openalex.org/keywords/noisy-labels网站“,”display_name“:”噪音标签“,”score“:0.522543},{”id“:”https://openalex.org/keywords/active-learning网站“,”display_name“:”主动学习“,”score“:0.507069}],”concepts“:[{”id“:”https://openalex.org/C107321475,“wikidata”:https://www.wikidata.org/wiki/Q5374254“,”display_name“:”经验风险最小化“,”level“:2,”score“:0.7859664},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198(网址:https://www.wikidata.org/wiki/Q21198)“,”display_name“:”计算机科学“,”level“:0,”score“:0.76971734},{”id“:”https://openalex.org/C2779458634,“wikidata”:https://www.wikidata.org/wiki/Q24963715网址“,”display_name“:”Debiasing“,”level“:2,”score“:0.7252292},{”id“:”https://openalex.org/C2780598303,“wikidata”:https://www.wikidata.org/wiki/Q65921492“,”display_name“:”灵活性(工程)“,”level“:2,”score“:0.6928866},{”id“:”https://openalex.org/C1960 83921,“wikidata”:https://www.wikidata.org/wiki/Q7915758“,”display_name“:”差异(会计)“,”级别“:2,”分数“:0.60056746},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539“,”display_name“:”机器学习“,”level“:1,”score“:0.5436314},{”id“:”https://openalex.org/C4679612,“wikidata”:https://www.wikidata.org/wiki/Q866298“,”display_name“:”Aggregate(composite)“,”level“:2,”score“:0.53963906},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.5379553},{”id“:”https://openalex.org/C2776372474,“wikidata”:https://www.wikidata.org/wiki/Q508291“,”display_name“:”Simplicity“,”level“:2,”score“:0.52061486},{”id“:”https://openalex.org/C2780451532,“wikidata”:https://www.wikidata.org/wiki/Q759676“,”display_name“:”Task(project management)“,”level“:2,”score“:0.5145833},{”id“:”https://openalex.org/C62644790,“wikidata”:https://www.wikidata.org/wiki/Q3454689“,”display_name“:”方差减少“,”level“:3,”score“:0.49806666},{”id“:”https://openalex.org/C206688291,“wikidata”:https://www.wikidata.org/wiki/Q7617819“,”display_name“:”随机梯度下降“,”level“:3,”score“:0.46777764},{”id“:”https://openalex.org/C11335779,“wikidata”:https://www.wikidata.org/wiki/Q3454686网址“,”display_name“:”Reduction(mathematics)“,”level“:2,”score“:0.4553573},{”id“:”https://openalex.org/C2780586882,“wikidata”:https://www.wikidata.org/wiki/Q7520643“,”display_name“:”Simple(哲学)“,”level“:2,”score“:0.44901156},{”id“:”https://openalex.org/C2777212361,“wikidata”:https://www.wikidata.org/wiki/Q5127848“,”display_name“:”类(哲学)“,”级别“:2,”分数“:0.42840505},{”id“:”https://openalex.org/C147764199,“wikidata”:https://www.wikidata.org/wiki/Q6865248“,”display_name“:”Minification“,”level“:2,”score“:0.42359588},{”id“:”https://openalex.org/C22367795,“wikidata”:https://www.wikidata.org/wiki/Q7625208“,”display_name“:”结构化预测“,”level“:2,”score“:0.42156696},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.1752148},{”id“:”https://openalex.org/C105795698,“wikidata”:https://www.wikidata.org/wiki/Q12483“,”display_name“:”Statistics“,”level“:1,”score“:0.17105931},{”id“:”https://openalex.org/C50644808,“wikidata”:https://www.wikidata.org/wiki/Q192776“,”display_name“:”人工神经网络“,”level“:2,”score“:0.0754292},{”id“:”https://openalex.org/C138885662,“wikidata”:https://www.wikidata.org/wiki/Q5891“,”display_name“:”哲学“,”等级“:0,”分数“:0.0},{”id“:”https://openalex.org/C192562407,“wikidata”:https://www.wikidata.org/wiki/Q228736“,”display_name“:”材料科学“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C144133560,“wikidata”:https://www.wikidata.org/wiki/Q4830453“,”display_name“:”Business“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C159985019,“wikidata”:https://www.wikidata.org/wiki/Q181790“,”display_name“:”复合材料“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C188147891,“wikidata”:https://www.wikidata.org/wiki/Q147638“,”display_name“:”认知科学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C15744967,“wikidata”:https://www.wikidata.org/wiki/Q9418“,”display_name“:”心理学“,”等级“:0,”分数“:0.0},{”id“:”https://openalex.org/C2524010,“wikidata”:https://www.wikidata.org/wiki/Q8087“,”display_name“:”Geometry“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C121955636,“wikidata”:https://www.wikidata.org/wiki/Q4116214“,”display_name“:”Accounting“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C187736073,“wikidata”:https://www.wikidata.org/wiki/Q2920921“,”display_name“:”管理“,”级别“:1,”分数“:0.0},{”id“:”https://openalex.org/C111472728,“wikidata”:https://www.wikidata.org/wiki/Q9471“,”display_name“:”认识论“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C199360897,“wikidata”:https://www.wikidata.org/wiki/Q9143“,”display_name“:”编程语言“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C162324750网址,“wikidata”:https://www.wikidata.org/wiki/Q8134“,”display_name“:”Economics“,”level“:0,”score“:0.0}],”mesh“:[],”locations_count“:2,”location“:[{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/2302.03115“,”pdf_url“:空,”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,”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”:“cc-by”,“licence_id”:“https://openalex.org/licenses/cc-by“,”version“:”submittedVersion“,”is_accepted“:false,”is_published“:false},{”is_oa“:false,”landing_page_url“:”https://api.datacite.org/dois/10.448550/arxiv.232.03115“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4393179698“,”display_name“:”DataCite API“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I4210145204“,”“host_organization_name”:“DataCite”,“host_organization_lineage”:[“https://openalex.org/I4210145204“],”host_organization_lineage_names“:[”DataCite“],”type“:”metadata“},”license“:null,”license_id“:null,”version“:null}],”best_oa_location“:{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/2302.03115“,”pdf_url“:空,”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,”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”:“cc-by”,“licence_id”:“https://openalex.org/licenses/cc-by“,”version“:”submittedVersion“,”is_accepted“:false,”is_published“:false},”sustainable_development_goals“:[],”grants“:[],”datasets“:],”versions“:[https://openalex.org/W4283750944","https://openalex.org/W3127825571","https://openalex.org/W30372999979","https://openalex.org/W2951225533","https://openalex.org/W2901060063","https://openalex.org/W2889345639","https://openalex.org/W2303021954","https://openalex.org/W2205410708","https://openalex.org/W2193091921","https://openalex.org/W2107438106“],”ngrams_url“:”https://api.openalex.org/works/W4319653493/ngrams“,”abstract_inverted_index“:{”We“:[0,88],”consider“:[1],”the“:[2,23,34,37,77,90129],”problem“:[3],”of“:[4,25,36,80,92131139179],”Learning“:[5],”from“:[6],”Label“:[7],”Proportions“:[8],”(LLP)“:[9],”a“:[10,54123137],”弱“:[11],”监督“:[12],”分类“:[13],“setup”:[14],“where”:[15],“instances”:[16],“are”:[17],“grouped”:[18],“分为“:[19],”“包”“,”“:[20],”和“:[21,56107148],”仅“:[22135],”频率“:[24],”类别“:[26],”标签“:[27],”在“:[28,45,84],”每个“:[29],“包”:[30143],”是“:[31,39],”可用。“:[32],“Albeit,”:[33],“objective”:[35],“learner”:[38],“to”:[40,74,98153],“reached”:[41],“low”:[42],“task”:【43】,“loss”:[44,68,79],“an”:[46,81,85],“individual”:[C7,86],“instance”:[48116],“level”。“:[49,87],”Here“:[50],”we“:[51121157],”propose“:[52],”Easylp:“:[53],”flexible“:[55],”simple-to-implement“:[57],”debiasing“:[58],”approach“:59,94],”based“:[60],”on“:[61,66115162],”aggregate“:[62],”labels“:[63],”which“:[64],”operations“:[65],”as任意“:[67,82],”functions。“:[69],”“我们的”:[70],”技术“:[71126],”允许“:[72],”我们“:[73],”准确“:[75],”估计“:[76],”预期“:[78],”模型“:[83],”展示“:[89],”灵活性“:[91],”我方“:[93159166],”by“:[95136],”应用“:[96],”it“:[97],”流行“:[99],”学习“:[100133],”框架“:[101],”比如“:[102],“实证”:[103],“风险”:[104],“最小化”:[105],“(ERM)“:[106],”随机“:[108],”梯度“:[109],”下降“:[110],”(SGD)“:[111],”带“:[112],”可证明“:[113],”保证“:[114],”等级“:[117],”性能。“:[118],“更多”:[119],“具体而言”:[120],“展示”:[122],“方差”:[124],“减少”:[125],“那”:[127],“制造”:[128],“质量”:[130],“LLP”:[132175],“恶化”:[134],“因子”:[138],“k”:[140],“(k”:141],“正在”:[142],“大小”:[144],“in”:[145177],“两者”:[146],“ERM”:[147],“SGD”:[149],“设置”,:[150],“作为”:[151169],“比较”:[152],“完整”:[154],“监督。“:[155],”最后,“:[156],”验证“:[158],”理论“:[160],”结果“:[161],”多重“:[163],”数据集“:[164],”演示“:[165],”算法“:[167],”执行“:[168],”良好“:[170],”或“:[171],”更好“:[172],”比“:[173],”先前“:[174],”方法“:[176],”尽管“:[178],”其“:[180],”简单。“:[181]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W4319653493“,”counts_by_year“:[],”updated_date“:”2024-05-25T19:27:57.222087“,”created_date:“2023-02-10”}“