{"id":"https://openalex.org/W4361859680","doi":"https://doi.org/10.1007/978-3-031-27818-1_17","title":"A Proposal-Improved Few-Shot Embedding Model with\u00a0Contrastive Learning","display_name":"A Proposal-Improved Few-Shot Embedding Model with\u00a0Contrastive Learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4361859680","doi":"https://doi.org/10.1007/978-3-031-27818-1_17"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-27818-1_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-27818-1_17","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5055094730","display_name":"Fucai Gong","orcid":"https://orcid.org/0000-0002-2025-0184"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fucai Gong","raw_affiliation_strings":["AsiaInfo Technologies, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AsiaInfo Technologies, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102007384","display_name":"Yuchen Xie","orcid":"https://orcid.org/0009-0007-2938-5003"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuchen Xie","raw_affiliation_strings":["AsiaInfo Technologies, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AsiaInfo Technologies, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101697560","display_name":"Le Jiang","orcid":"https://orcid.org/0000-0002-4283-2302"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le Jiang","raw_affiliation_strings":["AsiaInfo Technologies, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AsiaInfo Technologies, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049573211","display_name":"Keming Chen","orcid":"https://orcid.org/0000-0002-2749-8553"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keming Chen","raw_affiliation_strings":["AsiaInfo Technologies, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AsiaInfo Technologies, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102880548","display_name":"Yunxin Liu","orcid":"https://orcid.org/0000-0001-7352-8955"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunxin Liu","raw_affiliation_strings":["Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107230366","display_name":"Xiaozhou Ye","orcid":"https://orcid.org/0000-0002-4925-5907"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaozhou Ye","raw_affiliation_strings":["AsiaInfo Technologies, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AsiaInfo Technologies, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016317255","display_name":"Ye Ouyang","orcid":"https://orcid.org/0000-0002-6195-6415"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye Ouyang","raw_affiliation_strings":["AsiaInfo Technologies, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AsiaInfo Technologies, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102007384"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08552103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"202","last_page":"214"},"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":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot 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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9958000183105469,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.983299970626831,"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/computer-science","display_name":"Computer science","score":0.8721732497215271},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7245945930480957},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.663952648639679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.647826075553894},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48560279607772827},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4508124589920044},{"id":"https://openalex.org/keywords/shot-noise","display_name":"Shot noise","score":0.4473862648010254},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43526333570480347},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4098912179470062},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3975464105606079},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33802419900894165},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08692923188209534},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.0646313726902008}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8721732497215271},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7245945930480957},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.663952648639679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.647826075553894},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48560279607772827},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4508124589920044},{"id":"https://openalex.org/C72659945","wikidata":"https://www.wikidata.org/wiki/Q1503574","display_name":"Shot noise","level":3,"score":0.4473862648010254},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43526333570480347},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4098912179470062},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3975464105606079},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33802419900894165},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08692923188209534},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0646313726902008},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-27818-1_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-27818-1_17","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W639708223","https://openalex.org/W2102605133","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2949879676","https://openalex.org/W2963070905","https://openalex.org/W2988501586","https://openalex.org/W2994633389","https://openalex.org/W2998508940","https://openalex.org/W3009081299","https://openalex.org/W3012255272","https://openalex.org/W3034637015","https://openalex.org/W3034942609","https://openalex.org/W3094724482","https://openalex.org/W3106250896","https://openalex.org/W3108975329","https://openalex.org/W3118878482","https://openalex.org/W3174159092","https://openalex.org/W3189898312","https://openalex.org/W3199257374","https://openalex.org/W6600002382","https://openalex.org/W6600018615","https://openalex.org/W6601630192","https://openalex.org/W6717697761"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2312145515"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-01-23T23:20:30.427331","created_date":"2025-10-10T00:00:00"}
