{"id":"https://openalex.org/W2963644192","doi":"https://doi.org/10.1609/aaai.v33i01.33018223","title":"Data Fine-Tuning","display_name":"Data Fine-Tuning","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2963644192","doi":"https://doi.org/10.1609/aaai.v33i01.33018223","mag":"2963644192"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33018223","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018223","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v33i01.33018223","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046560862","display_name":"Saheb Chhabra","orcid":"https://orcid.org/0000-0001-7943-8424"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saheb Chhabra","raw_affiliation_strings":["Indian Institute of Technology Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009237168","display_name":"Puspita Majumdar","orcid":"https://orcid.org/0000-0002-4031-785X"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Puspita Majumdar","raw_affiliation_strings":["Indian Institute of Technology Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050521702","display_name":"Mayank Vatsa","orcid":"https://orcid.org/0000-0001-5952-2274"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mayank Vatsa","raw_affiliation_strings":["Indian Institute of Technology Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101477779","display_name":"Richa Singh","orcid":"https://orcid.org/0000-0002-9391-958X"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Richa Singh","raw_affiliation_strings":["Indian Institute of Technology Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"8223","last_page":"8230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9958999752998352,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9939000010490417,"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":0.7228754162788391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.533402681350708},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5198493599891663},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4673350751399994},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"Fine-tuning","score":0.4569658637046814},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43971046805381775},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.42424309253692627},{"id":"https://openalex.org/keywords/off-the-shelf","display_name":"Off the shelf","score":0.42067813873291016},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3867110013961792},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3603399991989136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3538748621940613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7228754162788391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.533402681350708},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5198493599891663},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4673350751399994},{"id":"https://openalex.org/C157524613","wikidata":"https://www.wikidata.org/wiki/Q2828883","display_name":"Fine-tuning","level":2,"score":0.4569658637046814},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43971046805381775},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.42424309253692627},{"id":"https://openalex.org/C2982819384","wikidata":"https://www.wikidata.org/wiki/Q7078910","display_name":"Off the shelf","level":2,"score":0.42067813873291016},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3867110013961792},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3603399991989136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3538748621940613},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33018223","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018223","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4833","is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4833","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4833/4706","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33018223","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018223","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330597","display_name":"Indraprastha Institute of Information Technology, Delhi","ror":"https://ror.org/03vfp4g33"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1782590233","https://openalex.org/W1834627138","https://openalex.org/W2055976444","https://openalex.org/W2180612164","https://openalex.org/W2480418144","https://openalex.org/W2516574342","https://openalex.org/W2517229335","https://openalex.org/W2543927648","https://openalex.org/W2546875627","https://openalex.org/W2788676105","https://openalex.org/W2788741149","https://openalex.org/W2804411656","https://openalex.org/W2819609926","https://openalex.org/W2884547199","https://openalex.org/W2942039787","https://openalex.org/W2963257145","https://openalex.org/W2963857521","https://openalex.org/W2963920068","https://openalex.org/W3098357269","https://openalex.org/W3101667008","https://openalex.org/W3103557498","https://openalex.org/W3109254476","https://openalex.org/W4300511536","https://openalex.org/W6638891565","https://openalex.org/W6752263084"],"related_works":["https://openalex.org/W2586121003","https://openalex.org/W4385572141","https://openalex.org/W4281997472","https://openalex.org/W2060792016","https://openalex.org/W4389060558","https://openalex.org/W4390306690","https://openalex.org/W2098693229","https://openalex.org/W2384651879","https://openalex.org/W1497519648","https://openalex.org/W4311360467"],"abstract_inverted_index":{"In":[0],"real-world":[1],"applications,":[2],"commercial":[3,26],"off-the-shelf":[4],"systems":[5,27],"are":[6],"utilized":[7],"for":[8,48],"performing":[9],"automated":[10],"facial":[11],"analysis":[12],"including":[13],"face":[14],"recognition,":[15,17],"emotion":[16],"and":[18,125],"attribute":[19],"prediction.":[20],"However,":[21],"a":[22,72],"majority":[23],"of":[24,36,63,71,79,96,106,130],"these":[25],"act":[28],"as":[29,88],"black":[30],"boxes":[31],"due":[32],"to":[33,44,66,100],"the":[34,37,46,53,61,68,77,80,101,104,108,113,128,131],"inaccessibility":[35],"model":[38,74],"parameters":[39,78],"which":[40],"makes":[41],"it":[42,87],"challenging":[43],"fine-tune":[45],"models":[47],"specific":[49],"applications.":[50],"Stimulated":[51],"by":[52,85],"advances":[54],"in":[55],"adversarial":[56],"perturbations,":[57],"this":[58],"research":[59],"proposes":[60],"concept":[62],"Data":[64],"Fine-tuning":[65],"improve":[67],"classification":[69,109],"accuracy":[70],"given":[73],"without":[75,111],"changing":[76],"model.":[81],"This":[82],"is":[83,98],"accomplished":[84],"modeling":[86],"data":[89],"(image)":[90],"perturbation":[91],"problem.":[92],"A":[93],"small":[94],"amount":[95],"\u201cnoise\u201d":[97],"added":[99],"input":[102],"with":[103],"objective":[105],"minimizing":[107],"loss":[110],"affecting":[112],"(visual)":[114],"appearance.":[115],"Experiments":[116],"performed":[117],"on":[118],"three":[119],"publicly":[120],"available":[121],"datasets":[122],"LFW,":[123],"CelebA,":[124],"MUCT,":[126],"demonstrate":[127],"effectiveness":[129],"proposed":[132],"concept.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2019-07-30T00:00:00"}
