{"id":"https://openalex.org/W3041858973","doi":"https://doi.org/10.24963/ijcai.2020/661","title":"Commonsense Reasoning to Guide Deep Learning for Scene Understanding (Extended Abstract)","display_name":"Commonsense Reasoning to Guide Deep Learning for Scene Understanding (Extended Abstract)","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3041858973","doi":"https://doi.org/10.24963/ijcai.2020/661","mag":"3041858973"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/661","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/661","pdf_url":"https://www.ijcai.org/proceedings/2020/0661.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0661.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019725446","display_name":"Mohan Sridharan","orcid":"https://orcid.org/0000-0001-9922-8969"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mohan Sridharan","raw_affiliation_strings":["University of Birmingham, UK","School of Computer Science, University of Birmingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"School of Computer Science, University of Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022195663","display_name":"Tiago Mota","orcid":"https://orcid.org/0000-0002-2339-0270"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Tiago Mota","raw_affiliation_strings":["The University of Auckland, NZ","Electrical and Computer Engineering, The University of Auckland, NZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Auckland, NZ","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"Electrical and Computer Engineering, The University of Auckland, NZ","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019725446"],"corresponding_institution_ids":["https://openalex.org/I79619799"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06614006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4760","last_page":"4764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9993000030517578,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9993000030517578,"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":0.9968000054359436,"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":0.9954000115394592,"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/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.8223397731781006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7587982416152954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7230194211006165},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6126030087471008},{"id":"https://openalex.org/keywords/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.6018109321594238},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5856578350067139},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.579697847366333},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48236459493637085},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.47170305252075195},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4600211977958679},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4494176506996155},{"id":"https://openalex.org/keywords/logical-reasoning","display_name":"Logical reasoning","score":0.42068326473236084},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.3626663088798523},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34640011191368103}],"concepts":[{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.8223397731781006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587982416152954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7230194211006165},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6126030087471008},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.6018109321594238},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5856578350067139},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.579697847366333},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48236459493637085},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.47170305252075195},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4600211977958679},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4494176506996155},{"id":"https://openalex.org/C43971567","wikidata":"https://www.wikidata.org/wiki/Q3142865","display_name":"Logical reasoning","level":2,"score":0.42068326473236084},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3626663088798523},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34640011191368103},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2020/661","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/661","pdf_url":"https://www.ijcai.org/proceedings/2020/0661.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/661","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/661","pdf_url":"https://www.ijcai.org/proceedings/2020/0661.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3620867648","display_name":null,"funder_award_id":"N00014-17-1-2434","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G4504108201","display_name":null,"funder_award_id":"N00014-17-1","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320318019","display_name":"Asian Office of Aerospace Research and Development","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3041858973.pdf","grobid_xml":"https://content.openalex.org/works/W3041858973.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2163605009","https://openalex.org/W2181623680","https://openalex.org/W2271840356","https://openalex.org/W2345355764","https://openalex.org/W2474390746","https://openalex.org/W2542981480","https://openalex.org/W2808201635","https://openalex.org/W2885804027","https://openalex.org/W2889631921","https://openalex.org/W2963140518","https://openalex.org/W2963601972","https://openalex.org/W2963907629","https://openalex.org/W2964248288","https://openalex.org/W2974932558","https://openalex.org/W2995503178","https://openalex.org/W3155306957","https://openalex.org/W4256120538","https://openalex.org/W4297810741"],"related_works":["https://openalex.org/W3035583586","https://openalex.org/W4320165839","https://openalex.org/W2151799802","https://openalex.org/W2196562041","https://openalex.org/W4385488510","https://openalex.org/W2073302931","https://openalex.org/W3206107299","https://openalex.org/W3082691151","https://openalex.org/W4287633646","https://openalex.org/W4378501473"],"abstract_inverted_index":{"Our":[0],"architecture":[1,69],"uses":[2],"non-monotonic":[3],"logical":[4],"reasoning":[5,38],"with":[6,67],"incomplete":[7],"commonsense":[8],"domain":[9],"knowledge,":[10],"and":[11,45,59],"incremental":[12],"inductive":[13],"learning,":[14],"to":[15],"guide":[16],"the":[17,33,40,46],"construction":[18],"of":[19,27,35,43,48],"deep":[20,73],"network":[21],"models":[22],"from":[23],"a":[24,36,60],"small":[25],"number":[26],"training":[28],"examples.":[29],"Experimental":[30],"results":[31],"in":[32,51,57,62,65],"context":[34],"robot":[37],"about":[39],"partial":[41],"occlusion":[42],"objects":[44],"stability":[47],"object":[49],"configurations":[50],"simulated":[52],"images":[53],"indicate":[54],"an":[55,68],"improvement":[56],"reliability":[58],"reduction":[61],"computational":[63],"effort":[64],"comparison":[66],"based":[70],"just":[71],"on":[72],"networks.":[74]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}