{"id":"https://openalex.org/W4200050534","doi":"https://doi.org/10.1109/taffc.2021.3139101","title":"Region Attentive Action Unit Intensity Estimation With Uncertainty Weighted Multi-Task Learning","display_name":"Region Attentive Action Unit Intensity Estimation With Uncertainty Weighted Multi-Task Learning","publication_year":2021,"publication_date":"2021-12-30","ids":{"openalex":"https://openalex.org/W4200050534","doi":"https://doi.org/10.1109/taffc.2021.3139101"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2021.3139101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2021.3139101","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-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/A5100456775","display_name":"Haifeng Chen","orcid":"https://orcid.org/0000-0001-7164-5840"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Chen","raw_affiliation_strings":["Shaanxi Key Laboratory on Speech and Image Information Processing, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University (NPU), Xi&#x2019;an, China","Peng Cheng Laboratory, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-7164-5840","affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory on Speech and Image Information Processing, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University (NPU), Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102021514","display_name":"Dongmei Jiang","orcid":"https://orcid.org/0000-0002-6238-8499"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Jiang","raw_affiliation_strings":["Shaanxi Key Laboratory on Speech and Image Information Processing, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University (NPU), Xi&#x2019;an, China","Peng Cheng Laboratory, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-6238-8499","affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory on Speech and Image Information Processing, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University (NPU), Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702071","display_name":"Yong Zhao","orcid":"https://orcid.org/0000-0003-2644-952X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhao","raw_affiliation_strings":["Shaanxi Key Laboratory on Speech and Image Information Processing, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University (NPU), Xi&#x2019;an, China","Peng Cheng Laboratory, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0003-2644-952X","affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory on Speech and Image Information Processing, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University (NPU), Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064374603","display_name":"Xiao-Yong Wei","orcid":"https://orcid.org/0000-0002-5706-5177"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyong Wei","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China","Peng Cheng Laboratory, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072833759","display_name":"Ke L\u00fc","orcid":"https://orcid.org/0000-0003-0176-3088"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Lu","raw_affiliation_strings":["School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China","Peng Cheng Laboratory, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0003-0176-3088","affiliations":[{"raw_affiliation_string":"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073820422","display_name":"Hichem Sahli","orcid":"https://orcid.org/0000-0002-1774-2970"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Hichem Sahli","raw_affiliation_strings":["Department of Electronics &#x0026; Informatics (ETRO), AVSP Research Lab, Vrije Universiteit Brussel (VUB), Brussels, Belgium","Interuniversity Microelectronics Centre (IMEC), Heverlee, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-1774-2970","affiliations":[{"raw_affiliation_string":"Department of Electronics &#x0026; Informatics (ETRO), AVSP Research Lab, Vrije Universiteit Brussel (VUB), Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Interuniversity Microelectronics Centre (IMEC), Heverlee, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5459,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73322585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":"3","first_page":"2033","last_page":"2047"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9988999962806702,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9988999962806702,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7113067507743835},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6873010993003845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.608592689037323},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5627115964889526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5180807113647461},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.49957895278930664},{"id":"https://openalex.org/keywords/unit","display_name":"Unit (ring theory)","score":0.4961443841457367},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3889980912208557},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37972337007522583},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35982733964920044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.341339111328125},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.32217496633529663},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1339971125125885},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08862340450286865}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7113067507743835},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6873010993003845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.608592689037323},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5627115964889526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5180807113647461},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.49957895278930664},{"id":"https://openalex.org/C122637931","wikidata":"https://www.wikidata.org/wiki/Q118084","display_name":"Unit (ring theory)","level":2,"score":0.4961443841457367},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3889980912208557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37972337007522583},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35982733964920044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.341339111328125},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.32217496633529663},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1339971125125885},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08862340450286865},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/taffc.2021.3139101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2021.3139101","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:268130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/TAFFC.2021.3139101","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4568926294","display_name":null,"funder_award_id":"U19B2037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7891390100","display_name":null,"funder_award_id":"61872256","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1486414894","https://openalex.org/W1509966554","https://openalex.org/W1595126664","https://openalex.org/W1628791547","https://openalex.org/W1655469623","https://openalex.org/W1900346672","https://openalex.org/W2018727909","https://openalex.org/W2028786445","https://openalex.org/W2045472600","https://openalex.org/W2051297709","https://openalex.org/W2065379720","https://openalex.org/W2088575594","https://openalex.org/W2109933817","https://openalex.org/W2129013408","https://openalex.org/W2132644735","https://openalex.org/W2132723029","https://openalex.org/W2141403362","https://openalex.org/W2174772062","https://openalex.org/W2194775991","https://openalex.org/W2280620570","https://openalex.org/W2295107390","https://openalex.org/W2396445702","https://openalex.org/W2421475762","https://openalex.org/W2475295588","https://openalex.org/W2589142773","https://openalex.org/W2612215259","https://openalex.org/W2756460808","https://openalex.org/W2787601078","https://openalex.org/W2799151537","https://openalex.org/W2807126412","https://openalex.org/W2888200171","https://openalex.org/W2898113613","https://openalex.org/W2903991757","https://openalex.org/W2905511418","https://openalex.org/W2957289502","https://openalex.org/W2962677013","https://openalex.org/W2963150697","https://openalex.org/W2963677766","https://openalex.org/W2963713173","https://openalex.org/W2964007075","https://openalex.org/W2968614444","https://openalex.org/W2969059826","https://openalex.org/W2981595954","https://openalex.org/W2981958729","https://openalex.org/W2984006054","https://openalex.org/W2989722689","https://openalex.org/W2995659499","https://openalex.org/W2995846001","https://openalex.org/W3011227460","https://openalex.org/W3017254989","https://openalex.org/W3035376925","https://openalex.org/W3102025332","https://openalex.org/W3115865297","https://openalex.org/W3130864507","https://openalex.org/W3172099915","https://openalex.org/W4287906843","https://openalex.org/W6630649318","https://openalex.org/W6638667902","https://openalex.org/W6739901393","https://openalex.org/W6754005058","https://openalex.org/W6766978945","https://openalex.org/W6771335037","https://openalex.org/W6791776128","https://openalex.org/W6840709385"],"related_works":["https://openalex.org/W611386996","https://openalex.org/W2371343292","https://openalex.org/W2576994247","https://openalex.org/W629290331","https://openalex.org/W2608353378","https://openalex.org/W4249206767","https://openalex.org/W617685022","https://openalex.org/W2563559453","https://openalex.org/W1509983653","https://openalex.org/W3215563689"],"abstract_inverted_index":{"Facial":[0],"action":[1],"units":[2],"(AUs)":[3],"refer":[4],"to":[5,102,155,161,211,248],"a":[6,63,131,140,157,177,182],"comprehensive":[7],"set":[8],"of":[9,52,119,181,201,216],"atomic":[10],"facial":[11,108],"muscle":[12],"movements.":[13],"Recent":[14],"works":[15],"have":[16],"focused":[17],"on":[18,75,227],"exploring":[19],"complementary":[20,48],"information":[21,49],"by":[22,38],"learning":[23,39,138,222],"the":[24,40,47,76,84,106,111,117,171,186,190,196,199,202,214,220,228,238,249],"relationships":[25],"among":[26,42,50],"AUs.":[27],"Most":[28],"existing":[29],"approaches":[30],"process":[31],"AU":[32,36,87,172,193,204,218,240],"co-occurrence":[33,118],"and":[34,67,125,146,163,195,231],"enhance":[35],"recognition":[37],"dependencies":[41],"AUs":[43,54,112,120],"from":[44,62,105],"labels,":[45],"however,":[46],"features":[51,104],"different":[53,150],"are":[55,209],"ignored.":[56],"Moreover,":[57,170],"ground":[58],"truth":[59],"annotations":[60],"suffer":[61],"large":[64],"intra-class":[65],"variance":[66,197],"their":[68],"associated":[69],"intensity":[70,88,173,194,241],"levels":[71],"may":[72],"vary":[73],"depending":[74],"annotators\u2019":[77],"experience.":[78],"In":[79,224],"this":[80],"paper,":[81],"we":[82,115,134,153],"propose":[83,135,154],"Region":[85],"Attentive":[86],"estimation":[89,242],"method":[90],"with":[91],"Uncertainty":[92],"Weighted":[93],"Multi-task":[94],"Learning":[95],"(RA-UWML).":[96],"A":[97],"RoI-Net":[98],"is":[99,174,235],"first":[100],"used":[101],"extract":[103],"pre-defined":[107],"patches":[109,127],"where":[110,185],"locate.":[113],"Then,":[114],"use":[116,156],"using":[121],"both":[122],"within":[123],"patch":[124,167],"between":[126,149],"representation":[128,137],"learning.":[129],"Within":[130],"given":[132],"patch,":[133],"sharing":[136],"in":[139,219],"multi-task":[141],"manner.":[142],"To":[143],"achieve":[144],"complementarity":[145],"avoid":[147],"redundancy":[148],"image":[151],"patches,":[152],"multi-head":[158],"self-attention":[159],"mechanism":[160],"adaptively":[162],"attentively":[164],"encode":[165],"each":[166,217],"specific":[168],"representation.":[169],"represented":[175],"as":[176],"Gaussian":[178],"distribution,":[179],"instead":[180],"single":[183],"value,":[184],"mean":[187],"value":[188],"indicates":[189,198],"most":[191],"likely":[192],"uncertainty":[200],"estimated":[203,207],"intensity.":[205],"The":[206],"variances":[208],"leveraged":[210],"automatically":[212],"weight":[213],"loss":[215],"multitask":[221],"model.":[223],"extensive":[225],"experiments":[226],"Disfa,":[229],"Fera2015":[230],"Feafa":[232],"benchmarks,":[233],"it":[234],"shown":[236],"that":[237],"proposed":[239],"model":[243],"achieves":[244],"better":[245],"results":[246],"compared":[247],"state-of-the-art":[250],"models.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
