{"id":"https://openalex.org/W3023512465","doi":"https://doi.org/10.1145/3388142.3388163","title":"Exponential triplet loss","display_name":"Exponential triplet loss","publication_year":2020,"publication_date":"2020-03-09","ids":{"openalex":"https://openalex.org/W3023512465","doi":"https://doi.org/10.1145/3388142.3388163","mag":"3023512465"},"language":"en","primary_location":{"id":"doi:10.1145/3388142.3388163","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3388142.3388163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Compute and Data Analysis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065806035","display_name":"\u0112valds Urt\u0101ns","orcid":"https://orcid.org/0000-0001-9813-0548"},"institutions":[{"id":"https://openalex.org/I201787326","display_name":"Riga Technical University","ror":"https://ror.org/00twb6c09","country_code":"LV","type":"education","lineage":["https://openalex.org/I201787326"]}],"countries":["LV"],"is_corresponding":true,"raw_author_name":"Evalds Urtans","raw_affiliation_strings":["Riga Technical University, Riga, Latvia"],"affiliations":[{"raw_affiliation_string":"Riga Technical University, Riga, Latvia","institution_ids":["https://openalex.org/I201787326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110682618","display_name":"Agris Nitkitenko","orcid":null},"institutions":[{"id":"https://openalex.org/I201787326","display_name":"Riga Technical University","ror":"https://ror.org/00twb6c09","country_code":"LV","type":"education","lineage":["https://openalex.org/I201787326"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"Agris Nitkitenko","raw_affiliation_strings":["Riga Technical University, Riga, Latvia"],"affiliations":[{"raw_affiliation_string":"Riga Technical University, Riga, Latvia","institution_ids":["https://openalex.org/I201787326"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051674831","display_name":"Valters V\u0113ci\u0146\u0161","orcid":null},"institutions":[{"id":"https://openalex.org/I201787326","display_name":"Riga Technical University","ror":"https://ror.org/00twb6c09","country_code":"LV","type":"education","lineage":["https://openalex.org/I201787326"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"Valters Vecins","raw_affiliation_strings":["Riga Technical University, Riga, Latvia"],"affiliations":[{"raw_affiliation_string":"Riga Technical University, Riga, Latvia","institution_ids":["https://openalex.org/I201787326"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065806035"],"corresponding_institution_ids":["https://openalex.org/I201787326"],"apc_list":null,"apc_paid":null,"fwci":0.7954,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77828914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"152","last_page":"158"},"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":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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/T10057","display_name":"Face and Expression Recognition","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.8669304251670837},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.7218730449676514},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.5649949908256531},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.505315363407135},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4963558316230774},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.46326783299446106},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4512764513492584},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.4472283124923706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4430452287197113},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.43235665559768677},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.4196981191635132},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37102290987968445},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.27708178758621216},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.2536512017250061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1947137713432312},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0843651294708252},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0665232241153717}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8669304251670837},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.7218730449676514},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.5649949908256531},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.505315363407135},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4963558316230774},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46326783299446106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4512764513492584},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4472283124923706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4430452287197113},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.43235665559768677},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.4196981191635132},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37102290987968445},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.27708178758621216},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.2536512017250061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1947137713432312},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0843651294708252},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0665232241153717},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3388142.3388163","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3388142.3388163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Compute and Data Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1975517671","https://openalex.org/W2096733369","https://openalex.org/W2106053110","https://openalex.org/W2157364932","https://openalex.org/W2171590421","https://openalex.org/W2511730936","https://openalex.org/W2513140567","https://openalex.org/W2547446130","https://openalex.org/W2549858646","https://openalex.org/W2598634450","https://openalex.org/W2600537992","https://openalex.org/W2612112834","https://openalex.org/W2689134854","https://openalex.org/W2756042011","https://openalex.org/W2766818358","https://openalex.org/W2768228940","https://openalex.org/W2770419535","https://openalex.org/W2784874046","https://openalex.org/W2797807814","https://openalex.org/W2897249786","https://openalex.org/W2962830213","https://openalex.org/W2963026686","https://openalex.org/W2963177757","https://openalex.org/W2963350250","https://openalex.org/W2963839617","https://openalex.org/W2964105864","https://openalex.org/W2968917279","https://openalex.org/W2969985801","https://openalex.org/W2994689640","https://openalex.org/W3099206234","https://openalex.org/W6729100687","https://openalex.org/W6729265172","https://openalex.org/W6755290357"],"related_works":["https://openalex.org/W2610298398","https://openalex.org/W4281992692","https://openalex.org/W2145396827","https://openalex.org/W2279239548","https://openalex.org/W4294294347","https://openalex.org/W63976795","https://openalex.org/W2404658402","https://openalex.org/W164473625","https://openalex.org/W2105228010","https://openalex.org/W122023996"],"abstract_inverted_index":{"This":[0,18],"paper":[1],"introduces":[2],"a":[3,38],"novel":[4,39],"variant":[5],"of":[6,41,57],"the":[7,26,58,67],"Triplet":[8,32],"Loss":[9,33],"function":[10,19,34,82],"that":[11,48],"converges":[12],"faster":[13],"and":[14,46,54,89],"gives":[15],"better":[16],"results.":[17],"can":[20,83],"separate":[21],"class":[22],"instances":[23],"homogeneously":[24],"through":[25],"whole":[27],"embedding":[28,42,69,74],"space.":[29],"With":[30],"Exponential":[31],"we":[35,77],"also":[36,62,78],"introduce":[37],"type":[40],"space":[43,51],"regularization":[44],"Unit-Range":[45],"Unit-Bounce":[47],"utilizes":[49],"euclidean":[50],"more":[52],"efficiently":[53],"resembles":[55],"features":[56],"cosine":[59],"distance.":[60],"We":[61],"examined":[63],"factors":[64],"for":[65,72,86],"choosing":[66],"best":[68],"vector":[70],"size":[71],"specific":[73],"spaces.":[75],"Finally,":[76],"demonstrate":[79],"how":[80],"new":[81],"train":[84],"models":[85],"one-shot":[87],"learning":[88],"re-identification":[90],"tasks.":[91]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
