{"id":"https://openalex.org/W4281384177","doi":"https://doi.org/10.1145/3533028.3533307","title":"Learning-to-learn efficiently with self-learning","display_name":"Learning-to-learn efficiently with self-learning","publication_year":2022,"publication_date":"2022-05-23","ids":{"openalex":"https://openalex.org/W4281384177","doi":"https://doi.org/10.1145/3533028.3533307"},"language":"en","primary_location":{"id":"doi:10.1145/3533028.3533307","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3533028.3533307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning","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/A5085697832","display_name":"Shruti Kunde","orcid":"https://orcid.org/0000-0002-4708-0496"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shruti Kunde","raw_affiliation_strings":["TCS Research, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"TCS Research, Mumbai, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009814101","display_name":"Sharod Roy Choudhry","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sharod Roy Choudhry","raw_affiliation_strings":["TCS Research, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"TCS Research, Mumbai, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102352380","display_name":"Amey Pandit","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amey Pandit","raw_affiliation_strings":["TCS Research, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"TCS Research, Mumbai, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058497166","display_name":"Rekha S. Singhal","orcid":"https://orcid.org/0000-0002-2621-6497"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rekha Singhal","raw_affiliation_strings":["TCS Research, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"TCS Research, Mumbai, India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085697832"],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":0.1205,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38765851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9861999750137329,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9832000136375427,"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":0.7307734489440918},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6518426537513733},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.640003502368927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6074680685997009},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5676295757293701},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4573059380054474},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4208813011646271},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15393802523612976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7307734489440918},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6518426537513733},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.640003502368927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6074680685997009},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5676295757293701},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4573059380054474},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4208813011646271},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15393802523612976},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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:10.1145/3533028.3533307","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3533028.3533307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2090136295","https://openalex.org/W2113788396","https://openalex.org/W2134552038","https://openalex.org/W2148143831","https://openalex.org/W2396961612","https://openalex.org/W2777539043","https://openalex.org/W2803849126","https://openalex.org/W2896590788","https://openalex.org/W2910597635","https://openalex.org/W2966284335","https://openalex.org/W2999917162","https://openalex.org/W3044965819","https://openalex.org/W3095926378","https://openalex.org/W3133848418","https://openalex.org/W3179233662","https://openalex.org/W3197684911","https://openalex.org/W4254790664"],"related_works":["https://openalex.org/W3021272668","https://openalex.org/W2961085424","https://openalex.org/W2803309984","https://openalex.org/W2963872552","https://openalex.org/W2237537322","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W1975570126","https://openalex.org/W2352015183","https://openalex.org/W2951720331"],"abstract_inverted_index":{"Digital":[0],"Twins":[1],"of":[2,12,54,67,75],"industrial":[3],"process":[4],"plants":[5],"enable":[6],"various":[7],"what-if":[8],"and":[9,19],"if-what":[10],"scenarios":[11],"the":[13,23,40,55,60,65,70,76],"plants'":[14],"functioning":[15],"for":[16],"fault":[17],"diagnosis":[18],"general":[20],"monitoring":[21],"in":[22,39,48,73],"real-world.":[24],"They":[25],"do":[26],"so":[27],"through":[28],"machine":[29],"learning":[30],"(ML)":[31],"models":[32,77,86],"built":[33],"using":[34,93],"data":[35],"from":[36],"sensors":[37],"fitted":[38],"plant.":[41],"Over":[42],"time,":[43],"environmental":[44],"factors":[45],"cause":[46],"variations":[47],"sensor":[49],"readings,":[50],"adversely":[51],"affecting":[52],"quality":[53],"models'":[56],"predictions.":[57],"This":[58],"triggers":[59],"self-learning":[61,74],"loop,":[62],"leading":[63],"to":[64,89],"re-tuning/re-training":[66],"models.":[68],"Reducing":[69],"time":[71],"spent":[72],"is":[78],"a":[79],"challenging":[80],"task":[81],"since":[82],"there":[83],"exist":[84],"multiple":[85,94],"that":[87],"need":[88],"be":[90],"trained":[91],"repeatedly":[92],"algorithms":[95],"which":[96],"translates":[97],"into":[98],"large":[99],"training":[100],"time.":[101]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
