{"id":"https://openalex.org/W1863660263","doi":null,"title":"Learning Submodular Losses with the Lov\u00e1sz Hinge","display_name":"Learning Submodular Losses with the Lov\u00e1sz Hinge","publication_year":2015,"publication_date":"2015-07-07","ids":{"openalex":"https://openalex.org/W1863660263","mag":"1863660263"},"language":"en","primary_location":{"id":"pmh:oai:HAL:hal-01151823v1","doi":null,"is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01151823","pdf_url":"https://inria.hal.science/hal-01151823v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://icml.cc/2015/","raw_type":"info:eu-repo/semantics/conferenceObject"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-01151823v1/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101721174","display_name":"Jiaqian Yu","orcid":"https://orcid.org/0000-0002-2612-1762","observed_orcids":["https://orcid.org/0000-0002-2612-1762"]},"institutions":[{"id":"https://openalex.org/I216852786","display_name":"\u00c9cole Centrale Paris","ror":"https://ror.org/00v0y5771","country_code":"FR","type":"education","lineage":["https://openalex.org/I216852786","https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I4405256392","display_name":"Centre de Vision Num\u00e9rique","ror":"https://ror.org/043k3s342","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4405256392"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yu, Jiaqian","raw_affiliation_strings":["CVN - Centre de vision num\u00e9rique (CentraleSup\u00e9lec - B\u00e2timent Bouygues - 3 rue Joliot Curie - 91190 GIF-SUR-YVETTE - France)","GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content (Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex - France)","Centre de vision num\u00e9rique","Organ Modeling through Extraction, Representation and Understanding of Medical Image Content"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVN - Centre de vision num\u00e9rique (CentraleSup\u00e9lec - B\u00e2timent Bouygues - 3 rue Joliot Curie - 91190 GIF-SUR-YVETTE - France)","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I4405256392"]},{"raw_affiliation_string":"GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content (Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex - France)","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"Centre de vision num\u00e9rique","institution_ids":["https://openalex.org/I4405256392"]},{"raw_affiliation_string":"Organ Modeling through Extraction, Representation and Understanding of Medical Image Content","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077783791","display_name":"Matthew B. Blaschko","orcid":"https://orcid.org/0000-0002-2640-181X","observed_orcids":["https://orcid.org/0000-0002-2640-181X"]},"institutions":[{"id":"https://openalex.org/I216852786","display_name":"\u00c9cole Centrale Paris","ror":"https://ror.org/00v0y5771","country_code":"FR","type":"education","lineage":["https://openalex.org/I216852786","https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I4405256392","display_name":"Centre de Vision Num\u00e9rique","ror":"https://ror.org/043k3s342","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4405256392"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Blaschko, Matthew","raw_affiliation_strings":["CVN - Centre de vision num\u00e9rique (CentraleSup\u00e9lec - B\u00e2timent Bouygues - 3 rue Joliot Curie - 91190 GIF-SUR-YVETTE - France)","GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content (Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex - France)","Centre de vision num\u00e9rique","Organ Modeling through Extraction, Representation and Understanding of Medical Image Content"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVN - Centre de vision num\u00e9rique (CentraleSup\u00e9lec - B\u00e2timent Bouygues - 3 rue Joliot Curie - 91190 GIF-SUR-YVETTE - France)","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I4405256392"]},{"raw_affiliation_string":"GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content (Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex - France)","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"Centre de vision num\u00e9rique","institution_ids":["https://openalex.org/I4405256392"]},{"raw_affiliation_string":"Organ Modeling through Extraction, Representation and Understanding of Medical Image Content","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6111,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.86013667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.5166000127792358,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.5166000127792358,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.2912999987602234,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.06840000301599503,"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/set-prediction","display_name":"set prediction","score":0.9549999833106995},{"id":"https://openalex.org/keywords/gradient-computation","display_name":"gradient computation","score":0.7139999866485596},{"id":"https://openalex.org/keywords/np-hardness","display_name":"NP-hardness","score":0.8619999885559082},{"id":"https://openalex.org/keywords/image-annotation","display_name":"image annotation","score":0.8259999752044678}],"concepts":[{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.763105034828186},{"id":"https://openalex.org/C44000306","wikidata":"https://www.wikidata.org/wiki/Q244330","display_name":"Hinge","level":2,"score":0.7129466533660889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6297627687454224},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.18205741047859192},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.170781672000885},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1329018771648407},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0934106707572937}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:HAL:hal-01151823v1","doi":null,"is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01151823","pdf_url":"https://inria.hal.science/hal-01151823v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://icml.cc/2015/","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01151823v1","doi":null,"is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01151823","pdf_url":"https://inria.hal.science/hal-01151823v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://icml.cc/2015/","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1444504185","display_name":"Discrete bIOimaging perCeption for Longitudinal Organ modElling and computEr-aided diagnosiS","funder_award_id":"259112","funder_id":"https://openalex.org/F4320338352","funder_display_name":"FP7 Ideas: European Research Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320338352","display_name":"FP7 Ideas: European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1863660263.pdf","grobid_xml":"https://content.openalex.org/works/W1863660263.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W146125889","https://openalex.org/W1480538416","https://openalex.org/W1498671329","https://openalex.org/W1525954826","https://openalex.org/W1576820654","https://openalex.org/W1680189815","https://openalex.org/W1759028351","https://openalex.org/W1861492603","https://openalex.org/W1982032418","https://openalex.org/W1991528957","https://openalex.org/W2031248101","https://openalex.org/W2062385571","https://openalex.org/W2092423930","https://openalex.org/W2105842272","https://openalex.org/W2110108847","https://openalex.org/W2120264885","https://openalex.org/W2153472243","https://openalex.org/W2156909104","https://openalex.org/W2189384308","https://openalex.org/W2500139799","https://openalex.org/W2544600968","https://openalex.org/W2953391683","https://openalex.org/W2963542991","https://openalex.org/W3118655244","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2963710004","https://openalex.org/W2339201886","https://openalex.org/W2244071340","https://openalex.org/W7117127464","https://openalex.org/W4221165429","https://openalex.org/W2946154049","https://openalex.org/W2464517936","https://openalex.org/W2101767118","https://openalex.org/W4392278517","https://openalex.org/W2186269575"],"abstract_inverted_index":{"Learning":[0],"with":[1,95],"non-modular":[2],"losses":[3],"is":[4,51,67],"an":[5],"important":[6],"problem":[7],"when":[8],"sets":[9],"of":[10,56,130],"predictions":[11],"are":[12,27],"made":[13],"simultaneously.":[14],"The":[15],"main":[16],"tools":[17],"for":[18,24,64,69,82,123],"constructing":[19],"convex":[20,44,78,118,133],"surrogate":[21,79,134],"loss":[22,49,71,80,101],"functions":[23,66],"set":[25],"prediction":[26],"margin":[28],"rescaling":[29],"and":[30],"slack":[31],"rescaling.":[32],"In":[33],"this":[34,131],"work,":[35],"we":[36,112],"show":[37],"that":[38],"these":[39,65],"strategies":[40],"lead":[41],"to":[42,90,99,103],"tight":[43],"surro-gates":[45],"iff":[46],"the":[47,54,85,100,115,121,128],"underlying":[48],"function":[50,81,102],"increasing":[52],"in":[53,120],"number":[55],"incorrect":[57],"predictions.":[58],"However,":[59],"gradient":[60,106],"or":[61,107],"cutting-plane":[62],"computation":[63],"NP-hard":[68],"non-supermodular":[70],"functions.":[72],"We":[73,126],"propose":[74],"instead":[75],"a":[76,105,110,136],"novel":[77,132],"submodular":[83],"losses,":[84],"Lov\u00e1sz":[86],"hinge,":[87],"which":[88],"leads":[89],"O(p":[91],"log":[92],"p)":[93],"complexity":[94],"O(p)":[96],"oracle":[97],"accesses":[98],"compute":[104],"cutting-plane.":[108],"As":[109],"result,":[111],"have":[113],"developed":[114],"first":[116],"tractable":[117],"surrogates":[119],"literature":[122],"sub-modular":[124],"losses.":[125],"demonstrate":[127],"utility":[129],"through":[135],"real":[137],"world":[138],"image":[139],"labeling":[140],"task.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-06-24T00:00:00"}