{"id":"https://openalex.org/W3131259441","doi":null,"title":"Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder.","display_name":"Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder.","publication_year":2021,"publication_date":"2021-02-18","ids":{"openalex":"https://openalex.org/W3131259441","mag":"3131259441"},"language":"en","primary_location":{"id":"mag:3131259441","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2102.09206","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2102.09206","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101016825","display_name":"Shuqi Lu","orcid":"https://orcid.org/0000-0003-3899-6926","observed_orcids":["https://orcid.org/0000-0003-3899-6926"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuqi Lu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3899-6926","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102363883","display_name":"Chenyan Xiong","orcid":"https://orcid.org/0000-0002-0392-4183","observed_orcids":["https://orcid.org/0000-0002-0392-4183"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenyan Xiong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739031","display_name":"Di He","orcid":"https://orcid.org/0000-0002-0908-9123","observed_orcids":["https://orcid.org/0000-0002-0908-9123"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Di He","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0908-9123","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061200287","display_name":"Guolin Ke","orcid":"https://orcid.org/0000-0002-1227-7221","observed_orcids":["https://orcid.org/0000-0002-1227-7221"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guolin Ke","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1227-7221","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014094721","display_name":"Waleed Malik","orcid":"https://orcid.org/0009-0006-6049-3021","observed_orcids":["https://orcid.org/0009-0006-6049-3021"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Waleed Malik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010558184","display_name":"Zhicheng Dou","orcid":"https://orcid.org/0000-0002-9781-948X","observed_orcids":["https://orcid.org/0000-0002-9781-948X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhicheng Dou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102869952","display_name":"Paul N. Bennett","orcid":"https://orcid.org/0000-0002-8846-5480","observed_orcids":["https://orcid.org/0000-0002-8846-5480"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paul N. Bennett","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8846-5480","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101884287","display_name":"Tie\u2010Yan Liu","orcid":"https://orcid.org/0000-0002-0476-8020","observed_orcids":["https://orcid.org/0000-0002-0476-8020"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tie\u2010Yan Liu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0476-8020","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005972047","display_name":"Arnold Overwijk","orcid":"https://orcid.org/0009-0000-5915-2541","observed_orcids":["https://orcid.org/0009-0000-5915-2541"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arnold Overwijk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9818999767303467,"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/T10028","display_name":"Topic Modeling","score":0.9818999767303467,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.00430000014603138,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.0026000000070780516,"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/siamese-network","display_name":"Siamese network","score":0.9430000185966492},{"id":"https://openalex.org/keywords/sequence-matching","display_name":"sequence matching","score":0.8669999837875366},{"id":"https://openalex.org/keywords/sequence-reconstruction","display_name":"sequence reconstruction","score":0.7250000238418579},{"id":"https://openalex.org/keywords/self-supervised-learning","display_name":"self-supervised learning","score":0.6729999780654907},{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"few-shot learning","score":0.6119999885559082},{"id":"https://openalex.org/keywords/web-search","display_name":"web search","score":0.6610000133514404},{"id":"https://openalex.org/keywords/recommendations","display_name":"recommendations","score":0.9290000200271606}],"concepts":[{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7733078598976135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7435951828956604},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.674053430557251},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6305849552154541},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5478756427764893},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5444676876068115},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5258712768554688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4733997583389282},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4726116955280304},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4723711311817169},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42216193675994873},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3464966118335724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1074458658695221},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08973172307014465},{"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3131259441","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2102.09206","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:3131259441","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2102.09206","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1566289585","https://openalex.org/W2130942839","https://openalex.org/W2145094598","https://openalex.org/W2210838531","https://openalex.org/W2593864460","https://openalex.org/W2626778328","https://openalex.org/W2763421725","https://openalex.org/W2899771611","https://openalex.org/W2911109671","https://openalex.org/W2912924812","https://openalex.org/W2937036051","https://openalex.org/W2947497897","https://openalex.org/W2951004968","https://openalex.org/W2951534261","https://openalex.org/W2952509486","https://openalex.org/W2962753370","https://openalex.org/W2963310665","https://openalex.org/W2963341956","https://openalex.org/W2964121744","https://openalex.org/W2965373594","https://openalex.org/W2970641574","https://openalex.org/W2981852735","https://openalex.org/W2982096936","https://openalex.org/W2982399380","https://openalex.org/W2983180560","https://openalex.org/W2995273672","https://openalex.org/W2997200074","https://openalex.org/W3011794880","https://openalex.org/W3013571468","https://openalex.org/W3015883388","https://openalex.org/W3030163527","https://openalex.org/W3034503922","https://openalex.org/W3034696692","https://openalex.org/W3038572442","https://openalex.org/W3098708719","https://openalex.org/W3118668786","https://openalex.org/W3122515622","https://openalex.org/W3157758108","https://openalex.org/W3170261818"],"related_works":["https://openalex.org/W3212725701","https://openalex.org/W3199842874","https://openalex.org/W3133902173","https://openalex.org/W4385572375","https://openalex.org/W7043939420","https://openalex.org/W4389891246","https://openalex.org/W6885001320","https://openalex.org/W7215018762","https://openalex.org/W4385565450","https://openalex.org/W3172399575"],"abstract_inverted_index":{"Many":[0],"real-world":[1],"applications":[2],"use":[3],"Siamese":[4,28,143],"networks":[5],"to":[6,24,54,72],"efficiently":[7],"match":[8],"text":[9],"sequences":[10],"at":[11],"scale,":[12],"which":[13,97],"require":[14],"high-quality":[15],"sequence":[16,25,39,44,80,101],"encodings.":[17,81],"This":[18],"paper":[19],"pre-trains":[20],"language":[21,70],"models":[22,154],"dedicated":[23],"matching":[26,40],"in":[27,57,110,142],"architectures.":[29],"We":[30],"first":[31],"hypothesize":[32],"that":[33,89],"a":[34,85,94],"representation":[35],"is":[36,52,108],"better":[37,79,137],"for":[38],"if":[41],"the":[42,76,91,99,103,124],"entire":[43],"can":[45,63],"be":[46,55,156],"reconstructed":[47],"from":[48,102,132],"it,":[49],"which,":[50],"however,":[51],"unlikely":[53],"achieved":[56],"standard":[58],"autoencoders:":[59],"A":[60],"strong":[61],"decoder":[62],"rely":[64],"on":[65,119],"its":[66],"capacity":[67,112],"and":[68,74,113,122,148,153],"natural":[69],"patterns":[71],"reconstruct":[73],"bypass":[75],"needs":[77],"of":[78],"Therefore":[82],"we":[83],"propose":[84],"new":[86],"self-learning":[87],"method":[88],"pretrains":[90],"encoder":[92,129],"with":[93],"weak":[95,133],"decoder,":[134],"reconstructs":[98],"original":[100],"encoder's":[104],"[CLS]":[105],"representations":[106],"but":[107],"restricted":[109],"both":[111],"attention":[114],"span.":[115],"In":[116],"our":[117],"experiments":[118],"web":[120],"search":[121],"recommendation,":[123],"pre-trained":[125],"SEED-Encoder,":[126],"SiamEsE":[127],"oriented":[128],"by":[130],"reconstructing":[131],"shows":[135],"significantly":[136],"generalization":[138],"ability":[139],"when":[140],"fine-tuned":[141],"networks,":[144],"improving":[145],"overall":[146],"accuracy":[147],"few-shot":[149],"performances.":[150],"Our":[151],"code":[152],"will":[155],"released.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-03-01T00:00:00"}
