{"id":"https://openalex.org/W4386212673","doi":"https://doi.org/10.1109/siu59756.2023.10223865","title":"Deep Multi-Object Symbol Learning with Self-Attention Based Predictors","display_name":"Deep Multi-Object Symbol Learning with Self-Attention Based Predictors","publication_year":2023,"publication_date":"2023-07-05","ids":{"openalex":"https://openalex.org/W4386212673","doi":"https://doi.org/10.1109/siu59756.2023.10223865"},"language":"en","primary_location":{"id":"doi:10.1109/siu59756.2023.10223865","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/siu59756.2023.10223865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-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/A5083430995","display_name":"Alper Ahmeto\u011flu","orcid":"https://orcid.org/0000-0003-1330-6781"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Alper Ahmeto\u011flu","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i Bo&#x011F;azi&#x00E7;i &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i Bo&#x011F;azi&#x00E7;i &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018729334","display_name":"Erhan \u00d6ztop","orcid":"https://orcid.org/0000-0002-3051-6038"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erhan \u00d6ztop","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i &#x00D6;zyegin &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i &#x00D6;zyegin &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048165304","display_name":"Emre U\u011fur","orcid":"https://orcid.org/0000-0001-9597-2731"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emre U\u011fur","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i Bo&#x011F;azi&#x00E7;i &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i Bo&#x011F;azi&#x00E7;i &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083430995"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11783993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9653000235557556,"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/T10028","display_name":"Topic Modeling","score":0.9405999779701233,"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":0.7434614896774292},{"id":"https://openalex.org/keywords/symbol","display_name":"Symbol (formal)","score":0.739533007144928},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6966325044631958},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6050665974617004},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6005903482437134},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5915741920471191},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5883873105049133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5518770217895508},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45379742980003357},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41494888067245483},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.2552907466888428},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.16813859343528748},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11672377586364746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7434614896774292},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.739533007144928},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6966325044631958},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6050665974617004},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6005903482437134},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5915741920471191},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5883873105049133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5518770217895508},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45379742980003357},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41494888067245483},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.2552907466888428},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16813859343528748},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11672377586364746},{"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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu59756.2023.10223865","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/siu59756.2023.10223865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:eresearch.ozyegin.edu.tr:10679/8942","is_oa":false,"landing_page_url":"http://hdl.handle.net/10679/8942","pdf_url":null,"source":{"id":"https://openalex.org/S4306400232","display_name":"ECS Journal of Solid State Science and Technology (The Electrochemical Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2802273670","host_organization_name":"Electrochemical Society","host_organization_lineage":["https://openalex.org/I2802273670"],"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":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7599999904632568,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W130216483","https://openalex.org/W1506047933","https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1998890282","https://openalex.org/W2032179398","https://openalex.org/W2113157000","https://openalex.org/W2122410182","https://openalex.org/W2135457285","https://openalex.org/W2140801763","https://openalex.org/W2202410222","https://openalex.org/W2203521679","https://openalex.org/W2222874733","https://openalex.org/W2547875792","https://openalex.org/W2548228487","https://openalex.org/W2787066086","https://openalex.org/W2899771611","https://openalex.org/W2926786214","https://openalex.org/W2946988931","https://openalex.org/W2963475757","https://openalex.org/W2963684088","https://openalex.org/W2964004050","https://openalex.org/W3035259124","https://openalex.org/W3037784242","https://openalex.org/W3174102894","https://openalex.org/W4200356583","https://openalex.org/W4213087611","https://openalex.org/W4221152231","https://openalex.org/W4283074245","https://openalex.org/W4283379570","https://openalex.org/W4288316079","https://openalex.org/W4297941051","https://openalex.org/W4310031365","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2275988210","https://openalex.org/W2385621972","https://openalex.org/W2386387936","https://openalex.org/W2510680828","https://openalex.org/W3009113258","https://openalex.org/W2589098947","https://openalex.org/W4231964008","https://openalex.org/W118037772","https://openalex.org/W4287124629","https://openalex.org/W2975200075"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,70],"architecture":[4,52,68],"that":[5,98,119],"can":[6,53,123],"learn":[7,54],"symbolic":[8,48,130],"representations":[9],"from":[10],"the":[11,35,99,103,113,120],"continuous":[12],"sensorimotor":[13],"experience":[14],"of":[15,23,43,94,110],"a":[16,20,40,64,74,86,91,107,135],"robot":[17,100],"interacting":[18],"with":[19,73,90],"varying":[21,92,108],"number":[22,42,93,109],"objects.":[24,95],"Unlike":[25],"previous":[26],"works,":[27],"this":[28],"work":[29],"aims":[30],"to":[31,128],"remove":[32],"constraints":[33],"on":[34],"learned":[36],"symbols":[37,55,122],"such":[38],"as":[39],"fixed":[41],"interacted":[44],"objects":[45,58,111],"or":[46],"pre-defined":[47],"structures.":[49],"The":[50,67],"proposed":[51],"for":[56,126],"single":[57],"and":[59],"relations":[60],"between":[61,106],"them":[62],"in":[63,85],"unified":[65],"manner.":[66],"is":[69],"encoder-decoder":[71],"network":[72],"binary":[75],"activation":[76],"layer":[77],"followed":[78],"by":[79,133],"self-attention":[80],"layers.":[81],"Experiments":[82],"are":[83],"conducted":[84],"robotic":[87],"manipulation":[88],"setup":[89],"Results":[96],"showed":[97,118],"successfully":[101],"encodes":[102],"interaction":[104],"dynamics":[105],"using":[112],"discovered":[114,121],"symbols.":[115],"We":[116],"also":[117],"be":[124],"used":[125],"planning":[127],"reach":[129],"goal":[131],"states":[132],"training":[134],"higher-level":[136],"neural":[137],"network.":[138]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2023-08-29T00:00:00"}
