{"id":"https://openalex.org/W3034814687","doi":"https://doi.org/10.24963/ijcai.2020/271","title":"Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective","display_name":"Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3034814687","doi":"https://doi.org/10.24963/ijcai.2020/271","mag":"3034814687"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/271","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/271","pdf_url":"https://www.ijcai.org/proceedings/2020/0271.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0271.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063925941","display_name":"Yusuke Iwasawa","orcid":"https://orcid.org/0000-0002-1321-2622"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yusuke Iwasawa","raw_affiliation_strings":["The University of Tokyo","The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050374959","display_name":"Kei Akuzawa","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Akuzawa","raw_affiliation_strings":["The University of Tokyo","The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074059447","display_name":"Yutaka Matsuo","orcid":"https://orcid.org/0000-0002-2070-4393"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Matsuo","raw_affiliation_strings":["The University of Tokyo","The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063925941"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52743967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1955","last_page":"1962"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9993000030517578,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"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/invariant","display_name":"Invariant (physics)","score":0.7523512244224548},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.7443854808807373},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.7214368581771851},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.529371976852417},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.5282900333404541},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5015692710876465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4915543496608734},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.45471855998039246},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.43521785736083984},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38911187648773193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3630250096321106},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35520198941230774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2948693037033081},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07946822047233582}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.7523512244224548},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.7443854808807373},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.7214368581771851},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.529371976852417},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.5282900333404541},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5015692710876465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4915543496608734},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.45471855998039246},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43521785736083984},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38911187648773193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3630250096321106},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35520198941230774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2948693037033081},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07946822047233582},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2020/271","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/271","pdf_url":"https://www.ijcai.org/proceedings/2020/0271.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/271","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/271","pdf_url":"https://www.ijcai.org/proceedings/2020/0271.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3034814687.pdf","grobid_xml":"https://content.openalex.org/works/W3034814687.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1577269164","https://openalex.org/W1731081199","https://openalex.org/W1920962657","https://openalex.org/W1956343362","https://openalex.org/W2014601643","https://openalex.org/W2155858138","https://openalex.org/W2162670686","https://openalex.org/W2163605009","https://openalex.org/W2288074780","https://openalex.org/W2346746376","https://openalex.org/W2742051693","https://openalex.org/W2763549966","https://openalex.org/W2767699072","https://openalex.org/W2787226294","https://openalex.org/W2792263949","https://openalex.org/W2804853846","https://openalex.org/W2894728917","https://openalex.org/W2898631838","https://openalex.org/W2899477140","https://openalex.org/W2963043696","https://openalex.org/W2963053914","https://openalex.org/W2963446520","https://openalex.org/W2964124968","https://openalex.org/W2998503299","https://openalex.org/W4299659673","https://openalex.org/W4310813911","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2387995142","https://openalex.org/W4380714744","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2057775761","https://openalex.org/W1608433645","https://openalex.org/W2995777218"],"abstract_inverted_index":{"Adversarial":[0],"invariance":[1,13,95,117],"induction":[2,96],"(AII)":[3],"is":[4,24,29,79,129],"a":[5,49,57,65,80,89],"generic":[6],"and":[7,27,47,152],"powerful":[8],"framework":[9],"for":[10,43],"enforcing":[11],"an":[12,38],"to":[14,148],"nuisance":[15],"attributes":[16],"into":[17,102],"neural":[18],"network":[19],"representations.":[20,85,111],"However,":[21],"its":[22,32],"optimization":[23,45,51,69],"often":[25],"unstable":[26],"little":[28],"known":[30],"about":[31],"practical":[33],"behavior.":[34],"This":[35],"paper":[36],"presents":[37],"analysis":[39],"of":[40,67,82,92,108,143],"the":[41,44,68,83,104,109,126,140,144],"reasons":[42],"difficulties":[46],"provides":[48],"better":[50],"procedure":[52],"by":[53,97],"rethinking":[54],"AII":[55,128],"from":[56],"divergence":[58,76,105],"minimization":[59,106],"perspective.":[60],"Interestingly,":[61],"this":[62],"perspective":[63],"indicates":[64],"cause":[66],"difficulties:":[70],"it":[71],"does":[72],"not":[73],"ensure":[74],"proper":[75],"minimization,":[77],"which":[78,100,125],"requirement":[81],"invariant":[84,110],"We":[86],"then":[87],"propose":[88],"simple":[90],"variant":[91],"AII,":[93],"called":[94],"discriminator":[98],"matching,":[99],"takes":[101],"account":[103],"interpretation":[107],"Our":[112],"method":[113],"consistently":[114],"achieves":[115],"near-optimal":[116],"in":[118,124],"toy":[119],"datasets":[120,137],"with":[121],"various":[122],"configurations":[123],"original":[127],"catastrophically":[130],"unstable.":[131],"Extentive":[132],"experiments":[133],"on":[134],"four":[135],"real-world":[136],"also":[138],"support":[139],"superior":[141],"performance":[142],"proposed":[145],"method,":[146],"leading":[147],"improved":[149],"user":[150],"anonymization":[151],"domain":[153],"generalization.":[154]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
