{"id":"https://openalex.org/W4386619269","doi":"https://doi.org/10.1109/icip49359.2023.10223053","title":"Hierarchical Multi-task Learning via Task Affinity Groupings","display_name":"Hierarchical Multi-task Learning via Task Affinity Groupings","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386619269","doi":"https://doi.org/10.1109/icip49359.2023.10223053"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10223053","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10223053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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/A5104084167","display_name":"Siddharth Srivastava","orcid":"https://orcid.org/0009-0009-5667-8287"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siddharth Srivastava","raw_affiliation_strings":["TensorTour"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TensorTour","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070652045","display_name":"Swati Bhugra","orcid":"https://orcid.org/0000-0002-3925-2729"},"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":"Swati Bhugra","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/A5006877813","display_name":"Vinay Kaushik","orcid":"https://orcid.org/0000-0001-6729-4857"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vinay Kaushik","raw_affiliation_strings":["Dview"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dview","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066116024","display_name":"Brejesh Lall","orcid":"https://orcid.org/0000-0003-2677-3071"},"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":"Brejesh Lall","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":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"3289","last_page":"3293"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9972000122070312,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9958000183105469,"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/multi-task-learning","display_name":"Multi-task learning","score":0.7902594804763794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7606150507926941},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6915264129638672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6357219219207764},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6237697005271912},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5704231858253479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5701413154602051},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5232273936271667},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.5207874178886414},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4930572211742401},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3714781403541565},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07156476378440857}],"concepts":[{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.7902594804763794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7606150507926941},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6915264129638672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6357219219207764},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6237697005271912},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5704231858253479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5701413154602051},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5232273936271667},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.5207874178886414},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4930572211742401},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3714781403541565},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07156476378440857},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10223053","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10223053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1861492603","https://openalex.org/W2549401308","https://openalex.org/W2807974043","https://openalex.org/W2963351448","https://openalex.org/W2963430933","https://openalex.org/W2963877604","https://openalex.org/W2966182616","https://openalex.org/W3034225195","https://openalex.org/W3085046840","https://openalex.org/W3106539628","https://openalex.org/W3128096387","https://openalex.org/W3165730205","https://openalex.org/W3167120888","https://openalex.org/W3215319055","https://openalex.org/W4214893857","https://openalex.org/W4226468366","https://openalex.org/W4288375142","https://openalex.org/W4293584584","https://openalex.org/W4300479382","https://openalex.org/W4302285999","https://openalex.org/W4312433447","https://openalex.org/W4313025803","https://openalex.org/W4319300241","https://openalex.org/W4386076222","https://openalex.org/W6738279954","https://openalex.org/W6745995898","https://openalex.org/W6750227808","https://openalex.org/W6761313651","https://openalex.org/W6771876938","https://openalex.org/W6799331316","https://openalex.org/W6800899058","https://openalex.org/W6804118295"],"related_works":["https://openalex.org/W2821676139","https://openalex.org/W3043695725","https://openalex.org/W4382138864","https://openalex.org/W4387770285","https://openalex.org/W3022215768","https://openalex.org/W3135975972","https://openalex.org/W3016888008","https://openalex.org/W4385864216","https://openalex.org/W4387183713","https://openalex.org/W4403518771"],"abstract_inverted_index":{"Multi-task":[0],"learning":[1,6,12,29],"(MTL)":[2],"permits":[3],"joint":[4],"task":[5,46,62,76,80,84],"based":[7],"on":[8,115,133],"a":[9,56,149],"shared":[10],"deep":[11],"architecture":[13],"and":[14,82,89,120,154],"multiple":[15,32,107],"loss":[16,25],"functions.":[17],"Despite":[18],"the":[19,28,43,50,72,87,131,144],"recent":[20],"advances":[21],"in":[22,31,38],"MTL,":[23],"one":[24],"often":[26,36],"dominates":[27],"optimization":[30],"unrelated":[33],"tasks.":[34,108],"This":[35],"results":[37,114,132],"poor":[39],"performance":[40],"compared":[41],"to":[42,67],"corresponding":[44],"single":[45],"learning.":[47,70,157],"To":[48],"overcome":[49],"aforementioned":[51],"\"negative":[52],"transfer\",":[53],"we":[54,140],"propose":[55],"novel":[57],"hierarchical":[58],"framework":[59,111,150],"that":[60,143],"leverages":[61],"relations":[63],"via":[64],"inter-task":[65,73],"affinity":[66,74],"supervise":[68],"multi-task":[69,95],"Specifically,":[71],"generated":[75],"sets,":[77],"with":[78,128],"low-level":[79],"set":[81,85],"complex":[83],"at":[86],"bottom":[88],"top":[90],"layers":[91],"respectively,":[92],"enables":[93],"iterative":[94],"information":[96],"sharing.":[97],"In":[98],"addition,":[99],"it":[100],"also":[101,141],"alleviates":[102],"simultaneous":[103],"image":[104,137],"annotations":[105],"for":[106,136],"The":[109],"proposed":[110],"achieves":[112],"state-of-the-art":[113],"classification,":[116],"detection,":[117],"semantic":[118],"segmentation":[119],"depth":[121],"estimation":[122],"across":[123],"three":[124],"standard":[125],"benchmarks.":[126],"Furthermore,":[127],"state":[129],"of":[130],"two":[134],"benchmarks":[135],"retrieval":[138],"task,":[139],"demonstrate":[142],"embeddings":[145],"learned":[146],"using":[147],"such":[148],"provide":[151],"good":[152],"generalization":[153],"robust":[155],"representation":[156]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}