{“id”:“https://openalex.org/W2997512706“,”doi“:”https://doi.org/10.1609/aaai.v34i04.6030“,”title“:”Loss-Based Attention for Deep Multi-Instance Learning“,”display_name“:”Loss-Based-Attention for Deep多实例学习“,”publication_year“:2020,”publiction_date“:”2020-04-03“,”ids“:{”openalex“:”https://openalex.org/W2997512706“,”doi“:”https://doi.org/10.1609/aai.v34i04.6030网址“,”mag“:”2997512706“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1609/aaai.v34i04.6030,“pdf_url”:https://ojs.aaai.org/index.php/aaai/article/download/6030/5886,“源”:{“id”:https://openalex.org/S4210191458“,”“display_name”“:”“AAAI人工智能会议记录”“,”issn_l“:”2159-5399“,”isn“:[”21595599“,”2374-3468“],”is_oa“:true,”is_ in_doaj“:false,”is_core“:false,”host_organization“:”https://openalex.org/P431032058“,”“host_organization_name”:“人工智能发展协会”,“host_ordanization_lineage”:[“https://openalex.org/P431032058“],”host_organization_lineage_names“:[”促进人工智能协会“],“type”:“conference”},“license”:null,“licence_id”:nul,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},”type“:”article“,”type_crossref“:“journal-article”,“indexed_in”:[”crossref“]oaurl“:”https://ojs.aaai.org/index.php/aaai/article/download/6030/5886“,”any_repository_has_fulltext“:false},”authorships“:[{”author_position“:”第一“,”作者“:{”id“:”https://openalex.org/A5069008709“,”display_name“:”小双石“,”兽人“:”https://orcid.org/0000-0003-4934-0850},“机构”:[{“id”:https://openalex.org/I33213144“,”display_name“:”佛罗里达大学“,”ror“:”https://ror.org/02y3ad647“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I33213144“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Xiaoshuang Shi“,”raw _ afiliation_strings“:[“佛罗里达大学”],”affiliations“:[{”raw_ afiliation _string“:”佛罗里达大学“,”institution_ids“:[https://openalex.org/I33213144“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5076917512“,”display_name“:”福永星“,”兽人“:”https://orcid.org/0000-0003-0982-8675},“机构”:[{“id”:https://openalex.org/I921990950“,”display_name“:”科罗拉多丹佛大学“,”ror“:”https://ror.org/02hh7en24“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I921990950“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”福永星“,”raw _ afiliation_strings“:[“科罗拉多丹佛大学”],”affiliations“:[{”raw_ afiliation _string“:”科罗拉多丹弗大学“,”institution_ids“:[https://openalex.org/I921990950“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5039870197“,”display_name“:”Yuanpu Xie“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I33213144“,”display_name“:”佛罗里达大学“,”ror“:”https://ror.org/02y3ad647“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I33213144“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Yuanpu Xie“,”raw _affiliation_strings“:[“佛罗里达大学”],”affiliations“:[{”raw_affiliation_string“:”佛罗里达大学“,”institution_ids“:[https://openalex.org/I33213144“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5101566830“,”display_name“:”Zizhao Zhang“,”orcid“:”https://orcid.org/0000-0002-6754-5123},“机构”:[{“id”:https://openalex.org/I33213144“,”display_name“:”佛罗里达大学“,”ror“:”https://ror.org/02y3ad647“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I33213144“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Zizhao Zhang“,”raw _affiliation_strings“:[“佛罗里达大学”],”affiliations“:[{”raw_affiliation_string“:”佛罗里达大学“,”institution_ids“:[https://openalex.org/I33213144“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5053836097“,”display_name“:”雷翠“,”兽人“:”https://orcid.org/0000-0001-9477-9155“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”崔磊“,”raw关联字符串“:[”西北大学“],”隶属关系“:[{”raw_affiliation_string“:”西北大学”,“institution_ids”:[]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5101725247“,”display_name“:”Lin Yang“,”orcid“:”https://orcid.org/0000-0002-7615-209X},“机构”:[{“id”:https://openalex.org/I33213144“,”display_name“:”佛罗里达大学“,”ror“:”https://ror.org/02y3ad647“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I33213144“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Lin Yang“,”raw_affiliation_strings“:[“佛罗里达大学”],”affiliations“:[{”raw_affiliation_string“:”佛罗里达大学“,”institution_ids“:[https://openalex.org/I33213144“]}]}],”institution_assertions“:[],”countries_distiction_count“:1,”institutions_disticent_count”:2,”corresponding_author_ids“:[[],”corresponding_institution_ids”:[],“apc_list”:空,”apc_payed“:空,“fwci”:3.315,”has_fulltext“:true,”fulltext_origin“:”pdf“,”cited_by_count 92,“is_in_top_1_percent”:假,“is_in_top_10_percent“:false},”cited_by_percentile_year“:{”min“:97,”max“:98},“biblio”:{“volume”:“34”,“issue”:“04”,“first_page”:“5742”,“last_page”:”5749“}”,“is_retracted”:false,“is_paratext”:false,“primary_topic”:{“id”:“https://openalex.org/T10824“,”display_name“:”形状匹配和对象识别“,”score“:0.9989,”subfield“:{”id“:”https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”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/T10824“,”display_name“:”形状匹配和对象识别“,”score“:0.9989,”subfield“:{”id“:”https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”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/T10627“,”“display_name”:“图像特征检索与识别技术”,“score”:0.9816,“subfield”:{“id”:“https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”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/T11550“,”display_name“:”机器学习中的多标签文本分类“,”score“:0.9415,”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/softmax-function网站“,”display_name“:”Softmax function“,”score“:0.754933},{”id“:”https://openalex.org/keywords/boosting网站“,”display_name“:”Boosting(machine learning)“,”score“:0.61695385},{”id“:”https://openalex.org/keywords/multi-label-learning网站“,”display_name“:”多标签学习“,”score“:0.566666},{”id“:”https://openalex.org/keywords/dep-learning网站“,”display_name“:”深度学习“,”score“:0.525009},{”id“:”https://openalex.org/keywords/interest-point-detectors网站“,”display_name“:”兴趣点检测器“,”score“:0.519427},{”id“:”https://openalex.org/keywords/交叉熵“,”display_name“:”交叉熵“,”score“:0.5111132},{”id“:”https://openalex.org/keywords/cross-modal-retrieval网站“,”display_name“:”跨模式检索“,”score“:0.511026},{”id“:”https://openalex.org/keywords/deep-neural-networks网站“,”display_name“:”深度神经网络“,”score“:0.45272967}],”concepts“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.7742183},{”id“:”https://openalex.org/C188441871,“wikidata”:https://www.wikidata.org/wiki/Q7554146“,”display_name“:”Softmax函数“,”level“:3,”score“:0.754933},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.69402146},{”id“:”https://openalex.org/C46686674,“wikidata”:https://www.wikidata.org/wiki/Q466303“,”display_name“:”Boosting(machine learning)“,”level“:2,”score“:0.61695385},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539“,”display_name“:”机器学习“,”level“:1,”score“:0.5757674},{”id“:”https://openalex.org/C167981619,“wikidata”:https://www.wikidata.org/wiki/Q1685498“,”display_name“:”交叉熵“,”level“:3,”score“:0.5111132},{”id“:”https://openalex.org/C108583219,“wikidata”:https://www.wikidata.org/wiki/Q197536“,”display_name“:”深度学习“,”level“:2,”score“:0.47582868},{”id“:”https://openalex.org/C2984842247,“wikidata”:https://www.wikidata.org/wiki/Q197536“,”display_name“:”Deep neural networks“,”level“:3,”score“:0.45272967},{”id“:”https://openalex.org/C106301342,“wikidata”:https://www.wikidata.org/wiki/Q4117933“,”display_name“:”熵(时间箭头)“,”level“:2,”score“:0.42398664},{”id“:”https://openalex.org/C2776436953,“wikidata”:https://www.wikidata.org/wiki/Q5163215“,”display_name“:”一致性(知识库)“,”level“:2,”score“:0.423022},{”id“:”https://openalex.org/C50644808,“wikidata”:https://www.wikidata.org/wiki/Q192776“,”display_name“:”人工神经网络“,”level“:2,”score“:0.4185066},{”id“:”https://openalex.org/C153180895,“wikidata”:https://www.wikidata.org/wiki/Q7148389“,”display_name“:”模式识别(心理学)“,”level“:2,”score“:0.35983372},{”id“:”https://openalex.org/C121332964,“wikidata”:https://www.wikidata.org/wiki/Q413“,”display_name“:”Physics“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C62520636,“wikidata”:https://www.wikidata.org/wiki/Q944“,”display_name“:”量子力学“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1609/aaai.v34i04.6030,“pdf_url”:https://ojs.aaai.org/index.php/aaai/article/download/6030/5886,“源”:{“id”:https://openalex.org/S4210191458“,”“display_name”“:”“AAAI人工智能会议记录”“,”issn_l“:”2159-5399“,”isn“:[”21595599“,”2374-3468“],”is_oa“:true,”is_ in_doaj“:false,”is_core“:false,”host_organization“:”https://openalex.org/P431032058“,”“host_organization_name”:“人工智能发展协会”,“host_ordanization_lineage”:[“https://openalex.org/P431032058“],”host_organization_lineage_names“:[”促进人工智能协会“],“type”:“conference”},“license”:null,“licence_id”:nul,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true}],“best_oa_location”:{“is_oa”:true,“landing_page_url”:“https://doi.org/10.1609/aaai.v34i04.6030,“pdf_url”:https://ojs.aaai.org/index.php/aaai/article/download/6030/5886,“源”:{“id”:https://openalex.org/S4210191458“,”“display_name”“:”“AAAI人工智能会议记录”“,”issn_l“:”2159-5399“,”isn“:[”21595599“,”2374-3468“],”is_oa“:true,”is_ in_doaj“:false,”is_core“:false,”host_organization“:”https://openalex.org/P431032058“,”“host_organization_name”:“人工智能发展协会”,“host_ordanization_lineage”:[“https://openalex.org/P431032058“],”host_organization_lineage_names“:[”Association for the Advancement of Artificial Intelligence“],”type“:”conference“},”license“:null,”license_id“:null,”version“:”publishedVersion“,”is_accepted“:true,”is_published“:true},”可持续发展目标“:[{”display_name“:”优质教育“,”id“:”https://metadata.un.org/sdg/4“,”score“:0.41}],”grants“:[],”datasets“:[],”versions“:[】,”referenced_works_count“:41,”referrenced_works“:【”https://openalex.org/W1514535095","https://openalex.org/W1529410181","https://openalex.org/W1535599202","https://openalex.org/W1828658979网址","https://openalex.org/W1923697677","https://openalex.org/W1929873255","https://openalex.org/W1931270512","https://openalex.org/W1961881037","https://openalex.org/W2010792435","https://openalex.org/W2016545623","https://openalex.org/W2036424610","https://openalex.org/W2053784471","https://openalex.org/W2098166271","https://openalex.org/W2108745803","https://openalex.org/W2110119381","https://openalex.org/W2112796928","https://openalex.org/W2115240329","https://openalex.org/W2124859243","https://openalex.org/W2132083787","https://openalex.org/W2133288557","https://openalex.org/W2163474322","https://openalex.org/W2166010828","https://openalex.org/W2194775991","https://openalex.org/W2269649163","https://openalex.org/W2302302587","https://openalex.org/W2313501142","https://openalex.org/W2343974644","https://openalex.org/W2531897166","https://openalex.org/W2551176409","https://openalex.org/W2597015119","https://openalex.org/W2740426294","https://openalex.org/W2768919623","https://openalex.org/W2785934082","https://openalex.org/W2789275762","https://openalex.org/W2887906331","https://openalex.org/W2934684307","https://openalex.org/W2945807221","https://openalex.org/W2951970475","https://openalex.org/W2963374347","https://openalex.org/W2963495494","https://openalex.org/W2964159205“],”related_works“:[”https://openalex.org/W4390823696","https://openalex.org/W4380994319","https://openalex.org/W4367154275","https://openalex.org/W4310030444","https://openalex.org/W4300326282","https://openalex.org/W4225630782","https://openalex.org/W2913125146","https://openalex.org/W2911303748","https://openalex.org/W2810018382","https://openalex.org/W2742395793“],”abstract_inverted_index“:{”虽然“:[0],”注意“:[1,47,93190222],”机制“:[2],”有“:[3],”被“:[4],”广泛“:[5],”使用“:[6163],”in“:[7,36,84],”深度“:[8,41106],”学习“:[9,21],”for“:[10,32105172],”许多“:[11],”任务“:[12],“它们”:[13],“是”:[14226],“很少”:[15],“利用”:[16151],“到”:[17,49,60133152164],“求解”:[18],“multiple”:[19,33107181],“instance”:[20,51,78,9810113135216],“(MIL)”:[22],“problems”:[23],“where”:[24],“only”:[25],“a”:[26,56,89140159193],“general”:[27],“category”:[28],“label”:[29],“is”:[30,7132150162192],“give”:[31],“instances”:[34],“contained”:[35],“one”:[37],“bag”。“:[38],”“此外,”:[39139],“先前”:[40221],“MIL”:[42211],“方法”:[43],“首先”:[44],“利用”:[45],“the”:[46,62,67,74117124127154166188],“mechanism”:[48191],“learn”:[50],“weights”:[52,99114146],“and”:[53100102122136147158196204218],“then”:[54],“employed”:[55],“full”:[57128],“已连接”:[58129],“层”:[59],“predict“:[61134],”bag“:[63,68103137203],”label“,”:[64],”so“:[65],”that“,”predication“:[69],”masically“:[71],”determined“:[72],”by“:[73],”effectivity“:[75],”of“:[76144156169183],”learned“:77145],”weights。“:[79],“To”:[80],“release”:[81],“this”:[82,85],“issue”,:[83],“paper”,“:[86],“we”:+87],“propose”:[88],“novel”:/90],“loss”:[91118],“based”:[92115],“mechanism”:[94],“which”:[95131199],“sympaneous”:[96],“learning”:[97],“predictions”,“:101],“specifications”:[104],“learning”。“:[109],”具体来说,“:[110],”it“:[111],”calculates“:[112],”on“:[116180228],”function“,”:[119],“e.g.”:[120],“softmax+交叉熵”:[121],“shares”:%123],“parameters”:[125],“with”:/126213],“layer,”:%130],“predictions”。“:[138],“正则化”:[141],“术语”:[142],“组成”:[143],“交叉熵”:[148],“函数”:[149],“增强”:[153],“召回”:[155219],“实例”:[157],“一致性”:[160],“成本”:[161],“平滑”:[165],“训练”:[167],“过程”:[168],“神经”:[170],“网络”:[171],“提升”:[173],“模型”:[175],“泛化”:[176],“性能”。“:[177],“广泛”:[178],“实验”:[179],“类型”:[182],“基准”:[184],“数据库”:[185],“演示”:[186],“建议”:[189],“一般”:[194],“有效”:[195],“高效”:[197],“框架”:[198],“可以”:[200],“实现”:[201],“卓越”:[202],“图像”:[205],“分类”:[206],“性能”:[207],“超过”:[208],“其他”:[209],“最先进的“:[210],”方法“:[212],”获取“:[214],”更高“:[215],”精度“:[217],”比“:[220],”机制。“:[223],”源“:[224],”代码“:[225],”可用“:[227],”https://github.com/xsshi2015/Loss-Attention。“:[229]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W2997512706“,”counts_by_year“:[{年:2024,”cited_by_count“:12},{年“:2023,”cited_by_count”:17},“年”:2022,”citecd_by_count“:16},”年度“:2021,”citesd_by_count“:7}],”updated_date“:2024-09-19T16:18:25.017229”,“created_dated”:“2020-01-10”}