{"id":"https://openalex.org/W4385768004","doi":"https://doi.org/10.24963/ijcai.2023/475","title":"Calibrating a Deep Neural Network with Its Predecessors","display_name":"Calibrating a Deep Neural Network with Its Predecessors","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385768004","doi":"https://doi.org/10.24963/ijcai.2023/475"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/475","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/475","pdf_url":"https://www.ijcai.org/proceedings/2023/0475.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0475.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084075159","display_name":"Linwei Tao","orcid":"https://orcid.org/0000-0002-8848-0189"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Linwei Tao","raw_affiliation_strings":["University of Sydney","School of Computer Science, Faculty of Engineering, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"School of Computer Science, Faculty of Engineering, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084617283","display_name":"Minjing Dong","orcid":"https://orcid.org/0009-0003-1717-818X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Minjing Dong","raw_affiliation_strings":["University of Sydney","School of Computer Science, Faculty of Engineering, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"School of Computer Science, Faculty of Engineering, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029813674","display_name":"Daochang Liu","orcid":"https://orcid.org/0000-0002-9279-7912"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Daochang Liu","raw_affiliation_strings":["University of Sydney","School of Computer Science, Faculty of Engineering, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"School of Computer Science, Faculty of Engineering, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041589060","display_name":"Changming Sun","orcid":"https://orcid.org/0000-0001-5943-1989"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Changming Sun","raw_affiliation_strings":["CSIRO Data61","CSIRO's Data61, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSIRO Data61","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]},{"raw_affiliation_string":"CSIRO's Data61, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001529504","display_name":"Chang Xu","orcid":"https://orcid.org/0000-0002-4756-0609"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chang Xu","raw_affiliation_strings":["University of Sydney","School of Computer Science, Faculty of Engineering, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"School of Computer Science, Faculty of Engineering, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6526,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74910367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4271","last_page":"4279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine 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/T11689","display_name":"Adversarial Robustness in Machine 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"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/overfitting","display_name":"Overfitting","score":0.9654267430305481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8080676198005676},{"id":"https://openalex.org/keywords/early-stopping","display_name":"Early stopping","score":0.7951651811599731},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7046573758125305},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.678444504737854},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6245985627174377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5515775084495544},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5379185676574707},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5363807082176208},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4843900799751282},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.48189693689346313},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.47242605686187744},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44291627407073975},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3932180106639862},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33015814423561096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10015279054641724},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08521768450737}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9654267430305481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8080676198005676},{"id":"https://openalex.org/C5465570","wikidata":"https://www.wikidata.org/wiki/Q5326898","display_name":"Early stopping","level":3,"score":0.7951651811599731},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7046573758125305},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.678444504737854},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6245985627174377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515775084495544},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5379185676574707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5363807082176208},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4843900799751282},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.48189693689346313},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.47242605686187744},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44291627407073975},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3932180106639862},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33015814423561096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10015279054641724},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08521768450737},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/475","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/475","pdf_url":"https://www.ijcai.org/proceedings/2023/0475.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/475","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/475","pdf_url":"https://www.ijcai.org/proceedings/2023/0475.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8682186884","display_name":null,"funder_award_id":"DP210101859","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320312169","display_name":"National Computational Infrastructure","ror":"https://ror.org/04yx6dh41"},{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320320966","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385768004.pdf"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1598033630","https://openalex.org/W1618905105","https://openalex.org/W1827297289","https://openalex.org/W2012942264","https://openalex.org/W2073241381","https://openalex.org/W2108598243","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2254249950","https://openalex.org/W2342840547","https://openalex.org/W2511730936","https://openalex.org/W2547875792","https://openalex.org/W2626967530","https://openalex.org/W2725875209","https://openalex.org/W2804697534","https://openalex.org/W2810134417","https://openalex.org/W2933254221","https://openalex.org/W2945125794","https://openalex.org/W2948194985","https://openalex.org/W2950832426","https://openalex.org/W2963446712","https://openalex.org/W2964137095","https://openalex.org/W2970121940","https://openalex.org/W2971118045","https://openalex.org/W2974098375","https://openalex.org/W2994088087","https://openalex.org/W3007260230","https://openalex.org/W3019779424","https://openalex.org/W3033912416","https://openalex.org/W3034403194","https://openalex.org/W3034893234","https://openalex.org/W3094502228","https://openalex.org/W3104448368","https://openalex.org/W3111643701","https://openalex.org/W3111980464","https://openalex.org/W3116402441","https://openalex.org/W3118608800","https://openalex.org/W3138006590","https://openalex.org/W3157506437","https://openalex.org/W3169652053","https://openalex.org/W3175630421","https://openalex.org/W3188772518","https://openalex.org/W4221155125","https://openalex.org/W4232919069","https://openalex.org/W4239072543","https://openalex.org/W4287063406","https://openalex.org/W4287752971","https://openalex.org/W4287865413","https://openalex.org/W4288332371","https://openalex.org/W4320487943","https://openalex.org/W6864014924"],"related_works":["https://openalex.org/W4254751698","https://openalex.org/W2922073769","https://openalex.org/W4320854463","https://openalex.org/W3040157805","https://openalex.org/W4288022214","https://openalex.org/W4387799548","https://openalex.org/W4385768004","https://openalex.org/W3008105014","https://openalex.org/W1724442104","https://openalex.org/W2156876426"],"abstract_inverted_index":{"Confidence":[0],"calibration":[1,82,110],"-":[2,14],"the":[3,7,26,51,59,95,108],"process":[4],"to":[5,39,43,80],"calibrate":[6,44],"output":[8],"probability":[9],"distribution":[10,125],"of":[11,20,53,62,87],"neural":[12],"networks":[13],"is":[15],"essential":[16],"for":[17],"safety-critical":[18],"applications":[19],"such":[21],"networks.":[22,45],"Recent":[23],"works":[24],"verify":[25],"link":[27],"between":[28],"mis-calibration":[29],"and":[30,56,115,129],"overfitting.":[31],"However,":[32],"early":[33,54],"stopping,":[34],"as":[35],"a":[36,63,72,85],"well-known":[37],"technique":[38],"mitigate":[40],"overfitting,":[41],"fails":[42],"In":[46,117],"this":[47],"work,":[48],"we":[49],"study":[50],"limitions":[52],"stopping":[55],"comprehensively":[57],"analyze":[58],"overfitting":[60],"problem":[61],"network":[64,97],"considering":[65],"each":[66],"individual":[67],"block.":[68],"We":[69],"then":[70],"propose":[71],"novel":[73],"regularization":[74],"method,":[75],"predecessor":[76],"combination":[77,86],"search":[78],"(PCS),":[79],"improve":[81],"by":[83],"searching":[84],"best-fitting":[88],"block":[89,92],"predecessors,":[90],"where":[91],"predecessors":[93],"are":[94,131],"corresponding":[96],"blocks":[98],"with":[99],"weight":[100],"parameters":[101],"from":[102],"earlier":[103],"training":[104],"stages.":[105],"PCS":[106,119],"achieves":[107],"state-of-the-art":[109],"performance":[111],"on":[112],"multiple":[113],"datasets":[114],"architectures.":[116],"addition,":[118],"improves":[120],"model":[121],"robustness":[122],"under":[123],"dataset":[124],"shift.":[126],"Supplementary":[127],"material":[128],"code":[130],"available":[132],"at":[133],"https://github.com/Linwei94/PCS":[134]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
