{"id":"https://openalex.org/W79158146","doi":null,"title":"Learning by Stretching Deep Networks","display_name":"Learning by Stretching Deep Networks","publication_year":2014,"publication_date":"2014-06-21","ids":{"openalex":"https://openalex.org/W79158146","mag":"79158146"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.703.901","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.703.901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://drona.csa.iisc.ernet.in/%7Eambedkar/_content/Papers/2014/icml-dukkipati-2014.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5004812994","display_name":"Gaurav Shankar Pandey","orcid":"https://orcid.org/0000-0003-1939-679X","observed_orcids":["https://orcid.org/0000-0003-1939-679X"]},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gaurav Pandey","raw_affiliation_strings":["Department of Computer Science and Automation, Indian Institute of Science, Bangalore 560012, INDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Automation, Indian Institute of Science, Bangalore 560012, INDIA","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010292297","display_name":"Ambedkar Dukkipati","orcid":"https://orcid.org/0000-0002-6352-6283","observed_orcids":["https://orcid.org/0000-0002-6352-6283"]},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ambedkar Dukkipati","raw_affiliation_strings":["Department of Computer Science and Automation, Indian Institute of Science, Bangalore 560012, INDIA"],"raw_orcid":"https://orcid.org/0000-0002-6352-6283","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Automation, Indian Institute of Science, Bangalore 560012, INDIA","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":2.3104,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.88626415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1719","last_page":"1727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8798999786376953,"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":0.8798999786376953,"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":0.0706000030040741,"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/T10320","display_name":"Neural Networks and Applications","score":0.02449999935925007,"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/stretching","display_name":"stretching","score":0.4659999907016754},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.8230000138282776},{"id":"https://openalex.org/keywords/deep-convolutional-neural-networks","display_name":"deep convolutional neural networks","score":0.7269999980926514},{"id":"https://openalex.org/keywords/object-recognition","display_name":"object recognition","score":0.48100000619888306},{"id":"https://openalex.org/keywords/convergence-bounds","display_name":"convergence bounds","score":0.7540000081062317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8061208724975586},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7027149796485901},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6520161628723145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6301025152206421},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5910627245903015},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5068832039833069},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47903886437416077},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35873252153396606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35339945554733276},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3053830862045288},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.703.901","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.703.901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://drona.csa.iisc.ernet.in/%7Eambedkar/_content/Papers/2014/icml-dukkipati-2014.pdf","raw_type":"text"},{"id":"mag:79158146","doi":null,"is_oa":false,"landing_page_url":"http://proceedings.mlr.press/v32/pandey14.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419644","display_name":"International Conference on Machine Learning","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Machine Learning","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W189596042","https://openalex.org/W1677409904","https://openalex.org/W1907282891","https://openalex.org/W2104371740","https://openalex.org/W2110798204","https://openalex.org/W2112796928","https://openalex.org/W2113145584","https://openalex.org/W2113606819","https://openalex.org/W2116064496","https://openalex.org/W2118858186","https://openalex.org/W2120240539","https://openalex.org/W2123395972","https://openalex.org/W2130073327","https://openalex.org/W2136922672","https://openalex.org/W2141125852","https://openalex.org/W2151103935","https://openalex.org/W2166049352","https://openalex.org/W2171236972","https://openalex.org/W2206858481","https://openalex.org/W2546302380"],"related_works":["https://openalex.org/W4360849212","https://openalex.org/W4210759888","https://openalex.org/W2921262234","https://openalex.org/W2963230762","https://openalex.org/W2786262858","https://openalex.org/W2945615399","https://openalex.org/W2418863753","https://openalex.org/W2142733564","https://openalex.org/W2149600041","https://openalex.org/W7098739929"],"abstract_inverted_index":{"In":[0,47],"recent":[1],"years,":[2],"deep":[3,99,120],"architectures":[4,101],"have":[5],"gained":[6],"a":[7,38,52,137],"lot":[8],"of":[9,17,125],"prominence":[10],"for":[11,37,86,95,109,129,136],"learning":[12,72],"complex":[13],"AI":[14],"tasks":[15],"because":[16],"their":[18],"capability":[19],"to":[20,34,43,61,84],"incorporate":[21],"com-plex":[22],"variations":[23],"in":[24,41,98,102],"data":[25],"within":[26],"the":[27,58,79,117,152],"model.":[28],"How-ever,":[29],"these":[30],"models":[31,60],"often":[32],"need":[33],"be":[35,74],"trained":[36],"long":[39],"time":[40],"order":[42],"obtain":[44],"good":[45,127],"results.":[46],"this":[48],"paper,":[49],"we":[50],"propose":[51],"technique,":[53],"called":[54],"\u2018stretch-ing\u2019,":[55],"that":[56,71,116],"allows":[57],"same":[59],"perform":[62],"considerably":[63],"better":[64,145],"with":[65],"very":[66],"little":[67],"training.":[68],"We":[69,90],"show":[70],"can":[73,142],"done":[75],"tractably,":[76],"even":[77],"when":[78],"weight":[80],"matrix":[81],"is":[82],"stretched":[83,119],"infinity,":[85],"some":[87],"specific":[88],"models.":[89],"also":[91],"study":[92],"tractable":[93],"algorithms":[94],"implementing":[96],"stretching":[97,148],"convolutional":[100,121],"an":[103],"iterative":[104],"man-ner":[105],"and":[106],"derive":[107],"bounds":[108],"its":[110],"convergence.":[111],"Our":[112],"experimental":[113],"results":[114],"suggest":[115],"proposed":[118],"networks":[122],"are":[123],"capa-ble":[124],"achieving":[126],"performance":[128],"many":[130],"ob-ject":[131],"recognition":[132],"tasks.":[133],"More":[134],"importantly,":[135],"fixed":[138],"network":[139],"architecture,":[140],"one":[141],"achieve":[143],"much":[144],"accuracy":[146],"using":[147,154],"rather":[149],"than":[150],"learn-ing":[151],"weights":[153],"backpropagation.":[155],"1.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
