{"id":"https://openalex.org/W2897169468","doi":"https://doi.org/10.1145/3240508.3240518","title":"Learning to Transfer","display_name":"Learning to Transfer","publication_year":2018,"publication_date":"2018-10-15","ids":{"openalex":"https://openalex.org/W2897169468","doi":"https://doi.org/10.1145/3240508.3240518","mag":"2897169468"},"language":"en","primary_location":{"id":"doi:10.1145/3240508.3240518","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5058898461","display_name":"Zhi-Qi Cheng","orcid":"https://orcid.org/0000-0002-1720-2085"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Qi Cheng","raw_affiliation_strings":["Southwest Jiaotong University & Carnegie Mellon University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University & Carnegie Mellon University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011680564","display_name":"Xiao Wu","orcid":"https://orcid.org/0000-0002-8322-8558"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wu","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021639720","display_name":"Siyu Huang","orcid":"https://orcid.org/0000-0002-2929-0115"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Huang","raw_affiliation_strings":["Zhejiang University & Carnegie Mellon University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University & Carnegie Mellon University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031882367","display_name":"Jun-Xiu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Xiu Li","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107836252","display_name":"Alexander G. Hauptmann","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander G. Hauptmann","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053836350","display_name":"Qiang Peng","orcid":"https://orcid.org/0000-0002-0536-2313"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Peng","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"90","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":1.0,"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/T11714","display_name":"Multimodal Machine Learning 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/T12676","display_name":"Machine Learning and ELM","score":0.994700014591217,"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":0.8581311702728271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6708387136459351},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.6560310125350952},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6429048776626587},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6357320547103882},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6102332472801208},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.590751051902771},{"id":"https://openalex.org/keywords/inductive-transfer","display_name":"Inductive transfer","score":0.5471221804618835},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5420919060707092},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.535994827747345},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5180073380470276},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5096099376678467},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5076683759689331},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.2242295742034912},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.12314313650131226}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8581311702728271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6708387136459351},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6560310125350952},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6429048776626587},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6357320547103882},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6102332472801208},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.590751051902771},{"id":"https://openalex.org/C77075516","wikidata":"https://www.wikidata.org/wiki/Q6027324","display_name":"Inductive transfer","level":5,"score":0.5471221804618835},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5420919060707092},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.535994827747345},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5180073380470276},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5096099376678467},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5076683759689331},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.2242295742034912},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.12314313650131226},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3240508.3240518","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W652269744","https://openalex.org/W1686810756","https://openalex.org/W1954735160","https://openalex.org/W2001723402","https://openalex.org/W2028285070","https://openalex.org/W2032699694","https://openalex.org/W2097998348","https://openalex.org/W2098411764","https://openalex.org/W2109317801","https://openalex.org/W2119717200","https://openalex.org/W2123921497","https://openalex.org/W2128532956","https://openalex.org/W2134270519","https://openalex.org/W2139594308","https://openalex.org/W2141418759","https://openalex.org/W2161381512","https://openalex.org/W2194775991","https://openalex.org/W2201155408","https://openalex.org/W2214409633","https://openalex.org/W2289084343","https://openalex.org/W2294130536","https://openalex.org/W2346746376","https://openalex.org/W2526377930","https://openalex.org/W2549401308","https://openalex.org/W2563032747","https://openalex.org/W2594529350","https://openalex.org/W2605124728","https://openalex.org/W2764273117","https://openalex.org/W2771727678","https://openalex.org/W2773706593","https://openalex.org/W2785366763","https://openalex.org/W2788721900","https://openalex.org/W2788853733","https://openalex.org/W2950182411","https://openalex.org/W2950497525","https://openalex.org/W2962786991","https://openalex.org/W2962974137","https://openalex.org/W2963097270","https://openalex.org/W2963137684","https://openalex.org/W2963374479","https://openalex.org/W2963536136","https://openalex.org/W2964081807","https://openalex.org/W2964086552","https://openalex.org/W2964294659","https://openalex.org/W3143107425","https://openalex.org/W4230563027"],"related_works":["https://openalex.org/W3016888008","https://openalex.org/W4387770285","https://openalex.org/W2165698076","https://openalex.org/W3022215768","https://openalex.org/W4387183713","https://openalex.org/W4382138864","https://openalex.org/W2821676139","https://openalex.org/W3135975972","https://openalex.org/W4403518771","https://openalex.org/W4287255623"],"abstract_inverted_index":{"As":[0],"attribute":[1,42,49,100,140,168,180],"leaning":[2],"brings":[3],"mid-level":[4],"semantic":[5],"properties":[6],"for":[7,40,46,98],"objects,":[8,155],"it":[9,29,109],"can":[10],"benefit":[11],"many":[12],"traditional":[13],"learning":[14,43,169,181],"problems":[15],"in":[16],"multimedia":[17],"and":[18,66,115,156,171],"computer":[19],"vision":[20],"communities.":[21],"When":[22],"facing":[23],"the":[24,51,54,95,112,121,125,135,166],"huge":[25],"number":[26],"of":[27,53,64,76,105,127],"attributes,":[28],"is":[30,58,72,90,107,131],"extremely":[31],"challenging":[32],"to":[33,79,92,118,133,138],"automatically":[34,93],"design":[35,94],"a":[36,47,62,73],"generalizable":[37,99,179],"neural":[38,55,96,173],"network":[39,56],"other":[41],"tasks.":[44],"Even":[45],"specific":[48],"domain,":[50],"exploration":[52],"architecture":[57,137,174],"always":[59],"optimized":[60],"by":[61],"combination":[63],"heuristics":[65],"grid":[67],"search,":[68],"from":[69,151],"which":[70],"there":[71],"large":[74],"space":[75],"possible":[77],"choices":[78],"be":[80],"searched.":[81],"In":[82,142],"this":[83],"paper,":[84],"Generalizable":[85],"Attribute":[86],"Learning":[87,114,117],"Model":[88],"(GALM)":[89],"proposed":[91],"networks":[97],"learning.":[101],"The":[102],"main":[103],"novelty":[104],"GALM":[106,130,147,163],"that":[108,162],"fully":[110],"exploits":[111],"Multi-Task":[113],"Reinforcement":[116],"speed":[119],"up":[120],"search":[122,175],"procedure.":[123],"With":[124],"help":[126],"parameter":[128],"sharing,":[129],"able":[132],"transfer":[134],"pre-searched":[136],"different":[139],"domains.":[141],"experiments,":[143],"we":[144],"comprehensively":[145],"evaluate":[146],"on":[148,177],"251":[149],"attributes":[150],"three":[152],"domains:":[153],"animals,":[154],"scenes.":[157],"Extensive":[158],"experimental":[159],"results":[160],"demonstrate":[161],"significantly":[164],"outperforms":[165],"state-of-the-art":[167],"approaches":[170],"previous":[172],"methods":[176],"two":[178],"scenarios.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}