{"id":"https://openalex.org/W3047349825","doi":"https://doi.org/10.1109/access.2020.3013560","title":"On Sensitive Minima in Margin-Based Deep Distance Learning","display_name":"On Sensitive Minima in Margin-Based Deep Distance Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3047349825","doi":"https://doi.org/10.1109/access.2020.3013560","mag":"3047349825"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3013560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3013560","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09154359.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09154359.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014295084","display_name":"Reza Serajeh","orcid":null},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Reza Serajeh","raw_affiliation_strings":["Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0001-5524-6874","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I80543232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071762332","display_name":"Seyran Khademi","orcid":"https://orcid.org/0000-0003-4623-3689"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Seyran Khademi","raw_affiliation_strings":["Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-4623-3689","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006573749","display_name":"Amir Mousavinia","orcid":"https://orcid.org/0000-0003-3229-8780"},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Amir Mousavinia","raw_affiliation_strings":["Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I80543232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077258803","display_name":"Jan van Gemert","orcid":"https://orcid.org/0000-0002-3913-2786"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jan C. Van Gemert","raw_affiliation_strings":["Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-3913-2786","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1354,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55465613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"145067","last_page":"145076"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/maxima-and-minima","display_name":"Maxima and minima","score":0.9420264959335327},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7742066383361816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5952411890029907},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5673666596412659},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.5450246334075928},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.544583797454834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5205444097518921},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32108545303344727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2703539729118347},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24995195865631104},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06422364711761475}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.9420264959335327},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7742066383361816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5952411890029907},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5673666596412659},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5450246334075928},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.544583797454834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5205444097518921},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32108545303344727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2703539729118347},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24995195865631104},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06422364711761475}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.3013560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3013560","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09154359.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:19f7eb15c5ae42bbab1404701570408a","is_oa":true,"landing_page_url":"https://doaj.org/article/19f7eb15c5ae42bbab1404701570408a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 145067-145076 (2020)","raw_type":"article"},{"id":"pmh:oai:tudelft.nl:uuid:0caeabcc-a1b0-4b0a-9ca2-97e71347c0f5","is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:0caeabcc-a1b0-4b0a-9ca2-97e71347c0f5","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3013560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3013560","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09154359.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320882","display_name":"Volkswagen Foundation","ror":"https://ror.org/03bsmfz84"},{"id":"https://openalex.org/F4320321012","display_name":"Technische Universiteit Delft","ror":"https://ror.org/02e2c7k09"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3047349825.pdf","grobid_xml":"https://content.openalex.org/works/W3047349825.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W4919037","https://openalex.org/W1836465849","https://openalex.org/W1929856797","https://openalex.org/W1951304353","https://openalex.org/W1955055330","https://openalex.org/W1975517671","https://openalex.org/W2095705004","https://openalex.org/W2096733369","https://openalex.org/W2108677974","https://openalex.org/W2116731705","https://openalex.org/W2127589108","https://openalex.org/W2136836265","https://openalex.org/W2144513243","https://openalex.org/W2145287260","https://openalex.org/W2151103935","https://openalex.org/W2157364932","https://openalex.org/W2169561155","https://openalex.org/W2171590421","https://openalex.org/W2194775991","https://openalex.org/W2320444803","https://openalex.org/W2345474290","https://openalex.org/W2432402544","https://openalex.org/W2479750863","https://openalex.org/W2598634450","https://openalex.org/W2737260104","https://openalex.org/W2794809894","https://openalex.org/W2949117887","https://openalex.org/W2951019013","https://openalex.org/W2962708773","https://openalex.org/W2963026686","https://openalex.org/W2963078860","https://openalex.org/W2963157250","https://openalex.org/W2963284197","https://openalex.org/W2963341924","https://openalex.org/W2963350250","https://openalex.org/W2963713828","https://openalex.org/W2963748588","https://openalex.org/W2991234496","https://openalex.org/W3022509031","https://openalex.org/W3091905774","https://openalex.org/W3098711604","https://openalex.org/W3100555577","https://openalex.org/W6600213771","https://openalex.org/W6638667902","https://openalex.org/W6640083356","https://openalex.org/W6674330103","https://openalex.org/W6676315081","https://openalex.org/W6677205618","https://openalex.org/W6679955943","https://openalex.org/W6681151457","https://openalex.org/W6717697761","https://openalex.org/W6721871360","https://openalex.org/W6735531217","https://openalex.org/W6766776083","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W2909957174","https://openalex.org/W4246278799","https://openalex.org/W136674370","https://openalex.org/W2105527480","https://openalex.org/W2052387497","https://openalex.org/W2050203848","https://openalex.org/W2050191802"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"sensitive":[3,27,39],"minima":[4,40],"in":[5,55],"popular":[6],"deep":[7,49],"distance":[8,50],"learning":[9,51],"techniques":[10,73],"such":[11],"as":[12],"Siamese":[13],"and":[14,31,77],"Triplet":[15],"networks.":[16],"We":[17],"demonstrate":[18],"that":[19,25,58],"standard":[20],"formulations":[21],"may":[22],"find":[23],"solutions":[24],"are":[26],"to":[28,46,70],"small":[29,81],"changes":[30],"thus":[32],"do":[33],"not":[34],"generalize":[35],"well.":[36],"To":[37],"alleviate":[38],"we":[41],"propose":[42],"a":[43],"new":[44],"approach":[45],"regularize":[47],"margin-based":[48],"by":[52],"introducing":[53],"stochasticity":[54],"the":[56],"loss":[57],"encourages":[59],"robust":[60],"solutions.":[61],"Our":[62],"experimental":[63],"results":[64],"on":[65],"HPatches":[66],"show":[67],"promise":[68],"compared":[69],"common":[71],"regularization":[72],"including":[74],"weight":[75],"decay":[76],"dropout,":[78],"especially":[79],"for":[80],"sample":[82],"sizes.":[83]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}