{"id":"https://openalex.org/W4387169773","doi":"https://doi.org/10.3390/s23198148","title":"Dataset Condensation via Expert Subspace Projection","display_name":"Dataset Condensation via Expert Subspace Projection","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387169773","doi":"https://doi.org/10.3390/s23198148","pmid":"https://pubmed.ncbi.nlm.nih.gov/37836977"},"language":"en","primary_location":{"id":"doi:10.3390/s23198148","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23198148","pdf_url":"https://www.mdpi.com/1424-8220/23/19/8148/pdf?version=1695988798","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/19/8148/pdf?version=1695988798","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008366979","display_name":"Zhiheng Ma","orcid":"https://orcid.org/0000-0002-0034-2065"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiheng Ma","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China"],"raw_orcid":"https://orcid.org/0000-0002-0034-2065","affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113109673","display_name":"Dezheng Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezheng Gao","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an 710049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043778814","display_name":"Shaolei Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaolei Yang","raw_affiliation_strings":["School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","School of Software Engineering, Xi'an Jiaotong University, Xi'an 710049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040886197","display_name":"Xing Wei","orcid":"https://orcid.org/0000-0002-5025-3941"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xing Wei","raw_affiliation_strings":["School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","School of Software Engineering, Xi'an Jiaotong University, Xi'an 710049, China"],"raw_orcid":"https://orcid.org/0000-0002-5025-3941","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687952","display_name":"Yihong Gong","orcid":"https://orcid.org/0000-0002-1793-5836"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihong Gong","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an 710049, China","School of Software Engineering, Xi'an Jiaotong University, Xi'an 710049, China"],"raw_orcid":"https://orcid.org/0000-0002-1793-5836","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040886197"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.2282,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52119561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"23","issue":"19","first_page":"8148","last_page":"8148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980999827384949,"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":0.9962000250816345,"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":0.8285388946533203},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6530705094337463},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6455623507499695},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6323816776275635},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6323460340499878},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6053154468536377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.583741307258606},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5101178288459778},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4879169166088104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4835183620452881},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.479739785194397},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4735676050186157},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4558720290660858},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4542255699634552},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.44531917572021484},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39498627185821533},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1924355924129486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07877874374389648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8285388946533203},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6530705094337463},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6455623507499695},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6323816776275635},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6323460340499878},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6053154468536377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.583741307258606},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5101178288459778},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4879169166088104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4835183620452881},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.479739785194397},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4735676050186157},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4558720290660858},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4542255699634552},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.44531917572021484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39498627185821533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1924355924129486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07877874374389648},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23198148","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23198148","pdf_url":"https://www.mdpi.com/1424-8220/23/19/8148/pdf?version=1695988798","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37836977","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37836977","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10574980","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10574980","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10574980/pdf/sensors-23-08148.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f08598a260dc417686e8b8738b63deae","is_oa":true,"landing_page_url":"https://doaj.org/article/f08598a260dc417686e8b8738b63deae","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":"Sensors, Vol 23, Iss 19, p 8148 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/19/8148/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23198148","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23198148","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23198148","pdf_url":"https://www.mdpi.com/1424-8220/23/19/8148/pdf?version=1695988798","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G204555373","display_name":null,"funder_award_id":"202208313000248","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2088019026","display_name":null,"funder_award_id":"202208313000248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2934107027","display_name":null,"funder_award_id":"JCYJ20220818101406014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4260109123","display_name":null,"funder_award_id":"JCYJ20220818101406014","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5225412683","display_name":null,"funder_award_id":"2020M683489","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5833092045","display_name":null,"funder_award_id":"62206271","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5980247773","display_name":null,"funder_award_id":"2020AAA0105600","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6491784331","display_name":null,"funder_award_id":"2020AAA0105600","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6957898360","display_name":null,"funder_award_id":"62206271","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7104598702","display_name":null,"funder_award_id":"2020M683489","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7162673015","display_name":null,"funder_award_id":"62006183","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7763317984","display_name":null,"funder_award_id":"202205173000112","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8587438713","display_name":null,"funder_award_id":"202205173000112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8695853166","display_name":null,"funder_award_id":"62006183","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387169773.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1977983731","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2155319834","https://openalex.org/W2194775991","https://openalex.org/W2335728318","https://openalex.org/W2551176409","https://openalex.org/W2604763608","https://openalex.org/W2884282566","https://openalex.org/W2963446712","https://openalex.org/W2964189064","https://openalex.org/W3024202154","https://openalex.org/W3032949543","https://openalex.org/W3034486793","https://openalex.org/W3098042335","https://openalex.org/W3105966348","https://openalex.org/W3118608800","https://openalex.org/W3130095188","https://openalex.org/W4282939141","https://openalex.org/W4287065492","https://openalex.org/W4292779060","https://openalex.org/W4312252393","https://openalex.org/W4312412605","https://openalex.org/W4320858085","https://openalex.org/W6631190155","https://openalex.org/W6683152347","https://openalex.org/W6778804409","https://openalex.org/W6778883912","https://openalex.org/W6779630500","https://openalex.org/W6784919131","https://openalex.org/W6793164127","https://openalex.org/W6799502010","https://openalex.org/W6850535345"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2149583853","https://openalex.org/W1637798125","https://openalex.org/W2367926634","https://openalex.org/W2015013940","https://openalex.org/W4389421289"],"abstract_inverted_index":{"The":[0,189],"rapid":[1],"growth":[2],"in":[3,6,236],"dataset":[4,31,36,63,69,92,96,211],"sizes":[5],"modern":[7],"deep":[8,23],"learning":[9],"has":[10,82],"significantly":[11],"increased":[12],"data":[13],"storage":[14],"costs.":[15],"Furthermore,":[16],"the":[17,30,35,61,86,90,94,102,111,159,168,178,182,186,200,220,228,237,243],"training":[18,73,87,162,183,198],"and":[19,93,129,206],"time":[20],"costs":[21],"for":[22],"neural":[24,78],"networks":[25],"are":[26],"generally":[27],"proportional":[28],"to":[29,49,59,126,164,175],"size.":[32],"Therefore,":[33],"reducing":[34],"size":[37],"while":[38,70,151],"maintaining":[39,71],"model":[40],"performance":[41,74],"is":[42,54,97],"an":[43],"urgent":[44],"research":[45],"problem":[46],"that":[47,57,84,166],"needs":[48],"be":[50],"addressed.":[51],"Dataset":[52],"condensation":[53,212],"a":[55,65,139],"technique":[56],"aims":[58],"distill":[60],"original":[62,95],"into":[64],"much":[66],"smaller":[67],"synthetic":[68,91,160,204],"downstream":[72],"on":[75,199,232],"any":[76],"agnostic":[77],"network.":[79],"Previous":[80],"work":[81],"demonstrated":[83,219],"matching":[85,101,230],"trajectory":[88,114,163,184,229],"between":[89],"more":[98],"effective":[99],"than":[100],"instantaneous":[103],"gradient,":[104],"as":[105],"it":[106,116,174],"incorporates":[107],"long-range":[108,149],"information.":[109],"Despite":[110],"effectiveness":[112,221],"of":[113,156,167,185,203,222,239],"matching,":[115],"suffers":[117],"from":[118],"complex":[119],"gradient":[120,153],"unrolling":[121],"across":[122],"iterations,":[123],"which":[124,147],"leads":[125],"significant":[127],"memory":[128],"computation":[130],"overhead.":[131],"To":[132],"address":[133],"this":[134,136],"issue,":[135],"paper":[137],"proposes":[138],"novel":[140],"approach":[141],"called":[142],"Expert":[143],"Subspace":[144],"Projection":[145],"(ESP),":[146],"leverages":[148],"information":[150],"avoiding":[152],"unrolling.":[154],"Instead":[155],"strictly":[157],"enforcing":[158],"dataset's":[161],"mimic":[165],"real":[169,187],"dataset,":[170],"ESP":[171],"only":[172],"constrains":[173],"lie":[176],"within":[177],"subspace":[179],"spanned":[180],"by":[181,193,234,247],"dataset.":[188],"memory-saving":[190],"advantage":[191],"offered":[192],"our":[194,223],"method":[195,226,231,246],"facilitates":[196],"unbiased":[197],"complete":[201],"set":[202],"images":[205],"seamless":[207],"integration":[208],"with":[209],"other":[210],"techniques.":[213],"Through":[214],"extensive":[215],"experiments,":[216],"we":[217],"have":[218],"approach.":[224],"Our":[225],"outperforms":[227],"CIFAR10":[233],"16.7%":[235],"setting":[238],"1":[240],"Image/Class,":[241],"surpassing":[242],"previous":[244],"state-of-the-art":[245],"3.2%.":[248]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}