{"id":"https://openalex.org/W4206905879","doi":"https://doi.org/10.1109/ssci50451.2021.9660159","title":"Ensemble2N et: Learning from Ensemble Teacher Networks via Knowledge Transfer","display_name":"Ensemble2N et: Learning from Ensemble Teacher Networks via Knowledge Transfer","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4206905879","doi":"https://doi.org/10.1109/ssci50451.2021.9660159"},"language":"en","primary_location":{"id":"doi:10.1109/ssci50451.2021.9660159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660159","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101556291","display_name":"Chih-Lin Chang","orcid":"https://orcid.org/0000-0002-2538-8502"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Lin Chang","raw_affiliation_strings":["National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011646572","display_name":"Shiou-Chi Li","orcid":"https://orcid.org/0000-0003-4357-3151"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shiou-Chi Li","raw_affiliation_strings":["National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016756842","display_name":"Jen-Wei Huang","orcid":"https://orcid.org/0000-0001-5482-8311"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Wei Huang","raw_affiliation_strings":["National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"abs 1502 2791","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994000196456909,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8839625120162964},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.7706134915351868},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6810721158981323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6657745838165283},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.664095401763916},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6514602899551392},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6106439232826233},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5712661147117615},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5106163620948792},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.49524202942848206},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47221189737319946},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.41523271799087524},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.08668011426925659},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.06135338544845581}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8839625120162964},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.7706134915351868},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6810721158981323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6657745838165283},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.664095401763916},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6514602899551392},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6106439232826233},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5712661147117615},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5106163620948792},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.49524202942848206},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47221189737319946},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.41523271799087524},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.08668011426925659},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.06135338544845581},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci50451.2021.9660159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660159","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W1836465849","https://openalex.org/W1849277567","https://openalex.org/W1985697265","https://openalex.org/W2057266281","https://openalex.org/W2103753221","https://openalex.org/W2112796928","https://openalex.org/W2115403315","https://openalex.org/W2117539524","https://openalex.org/W2134797427","https://openalex.org/W2159291411","https://openalex.org/W2194775991","https://openalex.org/W2214409633","https://openalex.org/W2294370754","https://openalex.org/W2294609343","https://openalex.org/W2335728318","https://openalex.org/W2551835155","https://openalex.org/W2604474127","https://openalex.org/W2739879705","https://openalex.org/W2743289088","https://openalex.org/W2950621961","https://openalex.org/W2962911728","https://openalex.org/W2963628712","https://openalex.org/W3118608800","https://openalex.org/W6626481562","https://openalex.org/W6637373629","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6638667902","https://openalex.org/W6639204139","https://openalex.org/W6679909955","https://openalex.org/W6683633756","https://openalex.org/W6685444988","https://openalex.org/W6697042369","https://openalex.org/W6703116779","https://openalex.org/W6730389898","https://openalex.org/W6736389246","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W4205117943","https://openalex.org/W3179744494","https://openalex.org/W4362670567","https://openalex.org/W2882771868","https://openalex.org/W2578444090","https://openalex.org/W2963548962","https://openalex.org/W4224930320","https://openalex.org/W2799384463"],"abstract_inverted_index":{"In":[0,51,120],"machine":[1],"learning,":[2],"deep":[3,19,66],"neural":[4,68],"networks":[5,69,74],"(DNNs)":[6],"are":[7],"becoming":[8],"mainstream":[9],"because":[10],"they":[11],"can":[12,61,105],"learn":[13,75],"higher-level":[14],"features":[15],"and":[16,28,34,71,96,108],"thus":[17],"form":[18],"representations.":[20],"However,":[21],"DNNs":[22],"require":[23],"a":[24,56,83,143],"lot":[25],"of":[26,36,46,65,91],"memory":[27],"training":[29,39,57,64],"time.":[30],"Improving":[31],"the":[32,63,89,102,111,132],"efficiency":[33],"effectiveness":[35],"D":[37],"NN":[38],"has":[40],"been":[41],"an":[42],"increasingly":[43],"important":[44],"focus":[45],"research":[47],"in":[48,93,146],"recent":[49],"years.":[50],"this":[52],"paper,":[53],"we":[54],"propose":[55],"method,":[58],"Ensemble2Net,":[59,86],"that":[60,101],"accelerate":[62,88],"convolutional":[67],"(DCNNs),":[70],"help":[72,106],"student":[73],"knowledge":[76],"from":[77],"DCNN-based":[78],"teacher":[79],"networks.":[80],"We":[81],"use":[82],"novel":[84],"algorithm,":[85],"to":[87],"transfer":[90],"learning":[92],"VGGnet":[94,107],"(13/16/19),":[95],"ResNet.":[97],"The":[98],"results":[99],"show":[100],"Ensemble2Net":[103,124],"technique":[104],"ResNet":[109,122],"achieve":[110],"best":[112],"accuracy":[113,130],"at":[114],"lower":[115],"cost":[116],"than":[117,131,139],"current":[118],"approaches.":[119],"particular,":[121],"using":[123],"with":[125,137,142],"20":[126],"epochs":[127],"achieves":[128],"better":[129],"original":[133],"Res":[134],"Net":[135],"trained":[136],"more":[138],"170":[140],"epochs,":[141],"1.503x":[144],"speedup":[145],"performance.":[147]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}