{"id":"https://openalex.org/W3033992014","doi":"https://doi.org/10.1145/3372278.3390739","title":"Automation of Deep Learning - Theory and Practice","display_name":"Automation of Deep Learning - Theory and Practice","publication_year":2020,"publication_date":"2020-06-02","ids":{"openalex":"https://openalex.org/W3033992014","doi":"https://doi.org/10.1145/3372278.3390739","mag":"3033992014"},"language":"en","primary_location":{"id":"doi:10.1145/3372278.3390739","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372278.3390739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Multimedia Retrieval","raw_type":"proceedings-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/A5002232506","display_name":"Martin Wistuba","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145784","display_name":"IBM Research - Ireland","ror":"https://ror.org/04jnxr720","country_code":"IE","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145784"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Martin Wistuba","raw_affiliation_strings":["IBM Research, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"IBM Research, Dublin, Ireland","institution_ids":["https://openalex.org/I4210145784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050489428","display_name":"Ambrish Rawat","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145784","display_name":"IBM Research - Ireland","ror":"https://ror.org/04jnxr720","country_code":"IE","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145784"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Ambrish Rawat","raw_affiliation_strings":["IBM Research, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"IBM Research, Dublin, Ireland","institution_ids":["https://openalex.org/I4210145784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066128057","display_name":"Tejaswini Pedapati","orcid":"https://orcid.org/0000-0002-5260-0951"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tejaswini Pedapati","raw_affiliation_strings":["IBM Research, Yorktown, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Yorktown, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002232506"],"corresponding_institution_ids":["https://openalex.org/I4210145784"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62067399,"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":"5","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9997000098228455,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9997000098228455,"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":0.9951000213623047,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9950000047683716,"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":0.7813796997070312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.764308512210846},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6596501469612122},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6555123925209045},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5775256156921387},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5633028745651245},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5010569095611572},{"id":"https://openalex.org/keywords/structuring","display_name":"Structuring","score":0.4181116223335266},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11831235885620117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7813796997070312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.764308512210846},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6596501469612122},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6555123925209045},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5775256156921387},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5633028745651245},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5010569095611572},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.4181116223335266},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11831235885620117},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3372278.3390739","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372278.3390739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2560674852","https://openalex.org/W2600077159","https://openalex.org/W2773706593","https://openalex.org/W2780562800","https://openalex.org/W2796265726","https://openalex.org/W2963525613","https://openalex.org/W2963821229","https://openalex.org/W2964081807","https://openalex.org/W3104482253"],"related_works":["https://openalex.org/W4251394462","https://openalex.org/W1580673008","https://openalex.org/W1510936208","https://openalex.org/W2486167009","https://openalex.org/W1595575899","https://openalex.org/W756498608","https://openalex.org/W2135201366","https://openalex.org/W4285395220","https://openalex.org/W2131947708","https://openalex.org/W4256305671"],"abstract_inverted_index":{"The":[0,29],"growing":[1],"interest":[2],"in":[3,40,104],"both":[4],"the":[5,17,101,117,151,165,179],"automation":[6,70],"of":[7,19,23,31,48,64,71,106,116],"machine":[8],"learning":[9,12,42,52,79,130,162],"and":[10,37,57,99,123,131,141,160,163,172,186],"deep":[11,27,41,51,78],"has":[13,34],"inevitably":[14],"led":[15],"to":[16,25,45,76,96,149],"development":[18],"a":[20,61,68,89,113],"wide":[21],"variety":[22],"methods":[24,95],"automate":[26],"learning.":[28],"choice":[30],"network":[32],"architecture":[33,120,124,174],"proven":[35],"critical,":[36],"many":[38],"improvements":[39],"are":[43,54],"due":[44],"new":[46,166],"structuring":[47],"it.":[49],"However,":[50],"techniques":[53],"computationally":[55],"intensive":[56],"their":[58,107],"use":[59],"requires":[60],"high":[62],"level":[63],"domain":[65],"knowledge.":[66],"Even":[67],"partial":[69],"this":[72,85,111],"process":[73],"therefore":[74],"helps":[75],"make":[77],"more":[80],"accessible":[81],"for":[82,153,182],"everyone.":[83],"In":[84,144],"tutorial":[86],"we":[87,146],"present":[88],"uniform":[90],"formalism":[91],"that":[92,138],"enables":[93],"different":[94,102],"be":[97],"categorized":[98],"compare":[100],"approaches":[103,137,148],"terms":[105],"performance.":[108],"We":[109],"achieve":[110],"through":[112],"comprehensive":[114],"discussion":[115],"commonly":[118],"used":[119],"search":[121,152,175,181],"spaces":[122],"optimization":[125],"algorithms":[126,133],"based":[127,156],"on":[128,157],"reinforcement":[129],"evolutionary":[132],"as":[134,136,176,178],"well":[135,177],"include":[139,170],"surrogate":[140],"one-shot":[142],"models.":[143],"addition,":[145],"discuss":[147],"accelerate":[150],"neural":[154],"architectures":[155],"early":[158],"termination":[159],"transfer":[161],"address":[164],"research":[167],"directions,":[168],"which":[169],"constrained":[171],"multi-objective":[173],"automated":[180],"data":[183],"augmentation,":[184],"optimizers,":[185],"activation":[187],"functions.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}