{"id":"https://openalex.org/W2891661902","doi":null,"title":"Trading robust representations for sample complexity through self-supervised visual experience","display_name":"Trading robust representations for sample complexity through self-supervised visual experience","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2891661902","mag":"2891661902"},"language":"en","primary_location":{"id":"mag:2891661902","doi":null,"is_oa":false,"landing_page_url":"https://papers.nips.cc/paper/8170-trading-robust-representations-for-sample-complexity-through-self-supervised-visual-experience.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Neural Information Processing Systems","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5071433151","display_name":"Andrea Tacchetti","orcid":"https://orcid.org/0000-0001-9311-9171","observed_orcids":["https://orcid.org/0000-0001-9311-9171"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrea Tacchetti","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, United States"],"raw_orcid":"https://orcid.org/0000-0001-9311-9171","affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, United States","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017526862","display_name":"Stephen Voinea","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Voinea","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, United States","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043020206","display_name":"Georgios Evangelopoulos","orcid":"https://orcid.org/0000-0003-2240-1801","observed_orcids":["https://orcid.org/0000-0003-2240-1801"]},"institutions":[{"id":"https://openalex.org/I144112489","display_name":"McGovern Institute for Brain Research","ror":"https://ror.org/05ymca674","country_code":"US","type":"facility","lineage":["https://openalex.org/I144112489","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgios Evangelopoulos","raw_affiliation_strings":["McGovern Institute for Brain Research, Cambridge, United States"],"raw_orcid":"https://orcid.org/0000-0003-2240-1801","affiliations":[{"raw_affiliation_string":"McGovern Institute for Brain Research, Cambridge, United States","institution_ids":["https://openalex.org/I144112489"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.121,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52859522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":92},"biblio":{"volume":"31","issue":null,"first_page":"9617","last_page":"9627"},"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":0.9990000128746033,"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":0.9990000128746033,"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":0.00039999998989515007,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":9.999999747378752e-05,"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/self-supervised-learning","display_name":"self-supervised learning","score":0.8389999866485596},{"id":"https://openalex.org/keywords/weakly-supervised-learning","display_name":"weakly supervised learning","score":0.9100000262260437},{"id":"https://openalex.org/keywords/representation-learning","display_name":"representation learning","score":0.7630000114440918},{"id":"https://openalex.org/keywords/sample-complexity","display_name":"sample complexity","score":0.7620000243186951},{"id":"https://openalex.org/keywords/one-shot-learning","display_name":"one-shot learning","score":0.9860000014305115},{"id":"https://openalex.org/keywords/unlabeled-images","display_name":"unlabeled images","score":0.6340000033378601},{"id":"https://openalex.org/keywords/video-sequences","display_name":"video sequences","score":0.9539999961853027},{"id":"https://openalex.org/keywords/image-embeddings","display_name":"image embeddings","score":0.6830000281333923}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6918825507164001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6749085187911987},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.670591413974762},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5253122448921204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5182716250419617},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.510405957698822},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.46688002347946167},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.45555174350738525},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45530810952186584},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.44844725728034973},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.44425323605537415},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.4395114779472351},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.42682453989982605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21377524733543396},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.158464252948761},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2891661902","doi":null,"is_oa":false,"landing_page_url":"https://papers.nips.cc/paper/8170-trading-robust-representations-for-sample-complexity-through-self-supervised-visual-experience.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Neural Information Processing Systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2966661","https://openalex.org/W219040644","https://openalex.org/W343636949","https://openalex.org/W603908379","https://openalex.org/W630242894","https://openalex.org/W937846259","https://openalex.org/W1635792279","https://openalex.org/W1686810756","https://openalex.org/W1836533770","https://openalex.org/W2001226231","https://openalex.org/W2047508432","https://openalex.org/W2072072671","https://openalex.org/W2096733369","https://openalex.org/W2106053110","https://openalex.org/W2116848344","https://openalex.org/W2134557905","https://openalex.org/W2138621090","https://openalex.org/W2144796873","https://openalex.org/W2145038566","https://openalex.org/W2163922914","https://openalex.org/W2164598857","https://openalex.org/W2167025280","https://openalex.org/W2176040302","https://openalex.org/W2187089797","https://openalex.org/W2279221249","https://openalex.org/W2285336231","https://openalex.org/W2293078015","https://openalex.org/W2599837529","https://openalex.org/W2607575151","https://openalex.org/W2751657823","https://openalex.org/W2785325870","https://openalex.org/W2789955784","https://openalex.org/W2795877612","https://openalex.org/W2884269201","https://openalex.org/W2886960264","https://openalex.org/W2963749571"],"related_works":["https://openalex.org/W4388854864","https://openalex.org/W4298382534","https://openalex.org/W2950996604","https://openalex.org/W3186805477","https://openalex.org/W7034553344","https://openalex.org/W3122408561","https://openalex.org/W3129279281","https://openalex.org/W6921998077","https://openalex.org/W4362480085","https://openalex.org/W4408126702"],"abstract_inverted_index":{"Learning":[0],"in":[1,30,131],"small":[2],"sample":[3,89],"regimes":[4],"is":[5,18,25],"among":[6],"the":[7,12,31,41,88,97,103],"most":[8],"remarkable":[9],"features":[10],"of":[11,33,43,50,91,99,105,141],"human":[13],"perceptual":[14],"system.":[15],"This":[16],"ability":[17],"related":[19],"to":[20,22,47,57],"robustness":[21],"transformations,":[23],"which":[24,128],"acquired":[26],"through":[27,53],"visual":[28,51,133],"experience":[29],"form":[32],"weak-":[34],"or":[35],"self-supervision":[36],"during":[37],"development.":[38],"We":[39,61,95],"explore":[40],"idea":[42],"allowing":[44],"artificial":[45],"systems":[46],"learn":[48],"representations":[49,82],"stimuli":[52],"weak":[54],"supervision":[55],"prior":[56],"downstream":[58],"supervised":[59,115],"tasks.":[60,94],"introduce":[62],"a":[63,100],"novel":[64],"loss":[65],"function":[66],"for":[67,138],"representation":[68],"learning":[69,85,140],"using":[70],"unlabeled":[71,132],"image":[72,144],"sets":[73,123],"and":[74,77,86,113],"video":[75,111],"sequences,":[76,112],"experimentally":[78],"demonstrate":[79],"that":[80,121],"these":[81],"support":[83],"one-shot":[84],"reduce":[87],"complexity":[90],"multiple":[92],"recognition":[93],"establish":[96],"existence":[98],"trade-off":[101],"between":[102],"sizes":[104],"weakly":[106],"supervised,":[107],"automatically":[108],"obtained":[109],"from":[110],"fully":[114],"data":[116],"sets.":[117],"Our":[118],"results":[119],"suggest":[120],"equivalence":[122],"other":[124],"than":[125],"class":[126],"labels,":[127],"are":[129],"abundant":[130],"experience,":[134],"can":[135],"be":[136],"used":[137],"self-supervised":[139],"semantically":[142],"relevant":[143],"embeddings.":[145]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2018-09-27T00:00:00"}
