{"id":"https://openalex.org/W4415505959","doi":"https://doi.org/10.1145/3773075","title":"Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation","display_name":"Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation","publication_year":2025,"publication_date":"2025-10-24","ids":{"openalex":"https://openalex.org/W4415505959","doi":"https://doi.org/10.1145/3773075"},"language":"en","primary_location":{"id":"doi:10.1145/3773075","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3773075","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-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/A5043782065","display_name":"Xiaofeng Cao","orcid":"https://orcid.org/0000-0002-7391-0334"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Cao","raw_affiliation_strings":["School of Computer Science and Technology, Tongji University"],"raw_orcid":"https://orcid.org/0000-0002-7391-0334","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tongji University","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112767369","display_name":"Mingwei Xu","orcid":"https://orcid.org/0009-0001-0805-9002"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingwei Xu","raw_affiliation_strings":["School of Artificial Intelligence, Jilin University"],"raw_orcid":"https://orcid.org/0009-0001-0805-9002","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Jilin University","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003076238","display_name":"Xin Yu","orcid":"https://orcid.org/0000-0002-0269-5649"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xin Yu","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, The University of Queensland"],"raw_orcid":"https://orcid.org/0000-0002-0269-5649","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, The University of Queensland","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102922412","display_name":"Jiangchao Yao","orcid":"https://orcid.org/0000-0001-6115-5194"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangchao Yao","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University"],"raw_orcid":"https://orcid.org/0000-0001-6115-5194","affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210099312"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Ye","orcid":"https://orcid.org/0000-0002-3784-7788"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Ye","raw_affiliation_strings":["College of Electronic and Information Engineering, Tongji University"],"raw_orcid":"https://orcid.org/0000-0002-3784-7788","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Tongji University","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103204774","display_name":"Sheng-Jun Huang","orcid":"https://orcid.org/0000-0002-7673-5367"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengjun Huang","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics"],"raw_orcid":"https://orcid.org/0000-0002-7673-5367","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079083101","display_name":"Min-Ling Zhang","orcid":"https://orcid.org/0000-0003-1880-5918"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Minling Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University"],"raw_orcid":"https://orcid.org/0000-0003-1880-5918","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021751767","display_name":"Ivor W. Tsang","orcid":"https://orcid.org/0000-0001-8095-4637"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ivor Tsang","raw_affiliation_strings":["Australian Artificial Intelligence Institute, University of Technology Sydney"],"raw_orcid":"https://orcid.org/0000-0001-8095-4637","affiliations":[{"raw_affiliation_string":"Australian Artificial Intelligence Institute, University of Technology Sydney","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068243197","display_name":"Yew-Soon Ong","orcid":"https://orcid.org/0000-0002-4480-169X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yew-Soon Ong","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University"],"raw_orcid":"https://orcid.org/0000-0002-4480-169X","affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070273088","display_name":"James T. Kwok","orcid":"https://orcid.org/0000-0002-4828-8248"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"James T. Kwok","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology"],"raw_orcid":"https://orcid.org/0000-0002-4828-8248","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052993469","display_name":"Heng Tao Shen","orcid":"https://orcid.org/0000-0002-2999-2088"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Tao Shen","raw_affiliation_strings":["School of Computer Science and Technolog, Tongji University"],"raw_orcid":"https://orcid.org/0000-0002-2999-2088","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technolog, Tongji University","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":19.0492,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.99199661,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"58","issue":"6","first_page":"1","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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":0.991599977016449,"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/T12288","display_name":"Optimization and Search Problems","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/generalization","display_name":"Generalization","score":0.7121000289916992},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6437000036239624},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.630299985408783},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5835000276565552},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42879998683929443},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.42559999227523804},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.40470001101493835},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.3725000023841858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8607000112533569},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7121000289916992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6991999745368958},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6730999946594238},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6437000036239624},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.630299985408783},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5835000276565552},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42879998683929443},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.40470001101493835},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3725000023841858},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.335999995470047},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C176248197","wikidata":"https://www.wikidata.org/wiki/Q458526","display_name":"Probably approximately correct learning","level":4,"score":0.3068999946117401},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C2778445095","wikidata":"https://www.wikidata.org/wiki/Q18354077","display_name":"Sample complexity","level":2,"score":0.273499995470047}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3773075","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3773075","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-168810","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-168810","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7992097969","display_name":null,"funder_award_id":"62476109, 62206108, 62225602, and 62176184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1968200975","https://openalex.org/W1980035368","https://openalex.org/W2029288280","https://openalex.org/W2033178790","https://openalex.org/W2046176422","https://openalex.org/W2051061727","https://openalex.org/W2056138823","https://openalex.org/W2114841167","https://openalex.org/W2118978333","https://openalex.org/W2154952480","https://openalex.org/W2165093166","https://openalex.org/W2225156818","https://openalex.org/W2404399993","https://openalex.org/W2781821509","https://openalex.org/W2803106019","https://openalex.org/W2924476266","https://openalex.org/W2949413565","https://openalex.org/W2962799101","https://openalex.org/W2964105864","https://openalex.org/W2998115938","https://openalex.org/W2998332605","https://openalex.org/W2999552052","https://openalex.org/W3034795332","https://openalex.org/W3080083111","https://openalex.org/W3093903225","https://openalex.org/W3094624443","https://openalex.org/W3127690492","https://openalex.org/W3163842339","https://openalex.org/W3168656614","https://openalex.org/W3173559442","https://openalex.org/W4205175531","https://openalex.org/W4205991051","https://openalex.org/W4225657277","https://openalex.org/W4230030242","https://openalex.org/W4238893454","https://openalex.org/W4285603595","https://openalex.org/W4302580601","https://openalex.org/W4303423766","https://openalex.org/W4319163914","https://openalex.org/W4364321916","https://openalex.org/W4382203217","https://openalex.org/W4382568209","https://openalex.org/W4385210979","https://openalex.org/W4385976118","https://openalex.org/W4389459425","https://openalex.org/W4395056490","https://openalex.org/W4400524696","https://openalex.org/W4401214131","https://openalex.org/W4404782920","https://openalex.org/W4405926581"],"related_works":[],"abstract_inverted_index":{"Learning":[0],"with":[1,16,35,61,142],"high-resource":[2],"data":[3,17,65,87],"has":[4],"demonstrated":[5],"substantial":[6],"success":[7],"in":[8,66],"artificial":[9],"intelligence":[10],"(AI);":[11],"however,":[12],"the":[13,46,54,133],"costs":[14],"associated":[15,60],"annotation":[18],"and":[19,57,70,96,120,129,136],"model":[20],"training":[21],"remain":[22],"significant.":[23],"A":[24],"fundamental":[25],"objective":[26],"of":[27,81,105],"AI":[28],"research":[29],"is":[30],"to":[31,52],"achieve":[32],"robust":[33],"generalization":[34,55],"limited-resource":[36],"data.":[37,144],"This":[38],"survey":[39],"employs":[40],"agnostic":[41],"active":[42],"sampling":[43],"theory":[44],"within":[45],"Probably":[47],"Approximately":[48],"Correct":[49],"(PAC)":[50],"framework":[51],"analyze":[53],"error":[56],"label":[58],"complexity":[59],"learning":[62,107,141],"from":[63,112],"low-resource":[64,86,113,143],"both":[67],"model-agnostic":[68],"supervised":[69],"unsupervised":[71],"settings.":[72],"Based":[73],"on":[74],"this":[75],"analysis,":[76],"we":[77,100,125],"investigate":[78],"a":[79,102],"suite":[80],"optimization":[82],"strategies":[83],"tailored":[84],"for":[85,140],"learning,":[88],"including":[89,115],"gradient-informed":[90],"optimization,":[91,93,95],"meta-iteration":[92],"geometry-aware":[94],"LLMs-powered":[97],"optimization.":[98],"Furthermore,":[99],"provide":[101],"comprehensive":[103],"overview":[104],"multiple":[106],"paradigms":[108],"that":[109],"can":[110],"benefit":[111],"data,":[114],"domain":[116],"transfer,":[117],"reinforcement":[118],"feedback,":[119],"hierarchical":[121],"structure":[122],"modeling.":[123],"Finally,":[124],"conclude":[126],"our":[127],"analysis":[128],"investigation":[130],"by":[131],"summarizing":[132],"key":[134],"findings":[135],"highlighting":[137],"their":[138],"implications":[139]},"counts_by_year":[{"year":2026,"cited_by_count":15}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-24T00:00:00"}
