{"id":"https://openalex.org/W4363671707","doi":"https://doi.org/10.48550/arxiv.2304.03391","title":"Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval","display_name":"Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4363671707","doi":"https://doi.org/10.48550/arxiv.2304.03391"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2304.03391","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.03391","pdf_url":"https://arxiv.org/pdf/2304.03391","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2304.03391","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101819640","display_name":"Jae Myung Kim","orcid":"https://orcid.org/0000-0002-1384-5876"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kim, Jae Myung","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001366802","display_name":"A. Sophia Koepke","orcid":"https://orcid.org/0000-0002-5807-0576"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koepke, A. Sophia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109890544","display_name":"Cordelia Schmid","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schmid, Cordelia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5040372929","display_name":"Zeynep Akata","orcid":"https://orcid.org/0000-0002-1432-7747"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akata, Zeynep","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101819640"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9940000176429749,"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/T10028","display_name":"Topic Modeling","score":0.9916999936103821,"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/spurious-relationship","display_name":"Spurious relationship","score":0.9151413440704346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7812554836273193},{"id":"https://openalex.org/keywords/decorrelation","display_name":"Decorrelation","score":0.7091676592826843},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6299467086791992},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5414670705795288},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.483391672372818},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.445494681596756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4254196882247925},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3809933066368103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3435307741165161},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32673656940460205},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2075619399547577},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18232712149620056}],"concepts":[{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.9151413440704346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7812554836273193},{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.7091676592826843},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6299467086791992},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5414670705795288},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.483391672372818},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.445494681596756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4254196882247925},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3809933066368103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3435307741165161},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32673656940460205},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2075619399547577},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18232712149620056},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2304.03391","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.03391","pdf_url":"https://arxiv.org/pdf/2304.03391","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":null},{"id":"doi:10.48550/arxiv.2304.03391","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2304.03391","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2304.03391","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.03391","pdf_url":"https://arxiv.org/pdf/2304.03391","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":null},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1351001139","display_name":null,"funder_award_id":"76693517","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G2011604621","display_name":null,"funder_award_id":"IS18039A","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G53513784","display_name":null,"funder_award_id":"276693517","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G5415233182","display_name":null,"funder_award_id":"01IS18039A","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G7225624288","display_name":null,"funder_award_id":"This work was","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G7907426250","display_name":null,"funder_award_id":"390727645","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G802091010","display_name":null,"funder_award_id":"01IS18039","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G864726782","display_name":null,"funder_award_id":"FKZ: 01IS18039A","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G8915364236","display_name":null,"funder_award_id":"2064/1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320317967","display_name":"International Max Planck Research School for Environmental, Cellular and Molecular Microbiology","ror":null},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320327553","display_name":"International Max Planck Research School for Advanced Methods in Process and Systems Engineering","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4363671707.pdf","grobid_xml":"https://content.openalex.org/works/W4363671707.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1604939135","https://openalex.org/W2127058578","https://openalex.org/W2098040275","https://openalex.org/W2735368845","https://openalex.org/W3113091479","https://openalex.org/W2162899405","https://openalex.org/W2089764958","https://openalex.org/W941090075","https://openalex.org/W3109905219","https://openalex.org/W1523179148"],"abstract_inverted_index":{"Cross-modal":[0],"retrieval":[1,24,149,178],"methods":[2],"are":[3,67],"the":[4,11,33,45,50,53,71,93,105,135,145,176],"preferred":[5],"tool":[6],"to":[7,28,89,103,122,127,156],"search":[8],"databases":[9],"for":[10,49,160,168],"text":[12,101],"that":[13,63,66,84],"best":[14],"matches":[15],"a":[16,86],"query":[17,72],"image":[18,99],"and":[19,100,180],"vice":[20],"versa.":[21],"However,":[22],"image-text":[23,56,148,161],"models":[25,159],"commonly":[26],"learn":[27],"memorize":[29],"spurious":[30,90,128],"correlations":[31,91,110,129],"in":[32,52,60,70,92,111,134,165,173,181],"training":[34,94,136],"data,":[35,155],"such":[36,108],"as":[37],"frequent":[38],"object":[39,81,109,185],"co-occurrence,":[40],"instead":[41],"of":[42,107,130,147,175,183],"looking":[43],"at":[44,192],"actual":[46],"underlying":[47],"reasons":[48],"prediction":[51],"image.":[54,73],"For":[55],"retrieval,":[57],"this":[58,75],"manifests":[59],"retrieved":[61],"sentences":[62],"mention":[64],"objects":[65,133],"not":[68],"present":[69],"In":[74],"work,":[76],"we":[77],"introduce":[78],"ODmAP@k,":[79],"an":[80],"decorrelation":[82,186],"metric":[83],"measures":[85],"model's":[87],"robustness":[88],"data.":[95,114,137],"We":[96,138],"use":[97],"automatic":[98],"manipulations":[102],"control":[104],"presence":[106],"designated":[112],"test":[113],"Additionally,":[115],"our":[116,140,184],"data":[117],"synthesis":[118],"technique":[119],"is":[120,190],"used":[121],"tackle":[123],"model":[124],"biases":[125],"due":[126],"semantically":[131],"unrelated":[132],"apply":[139],"proposed":[141],"pipeline,":[142],"which":[143],"involves":[144],"finetuning":[146],"frameworks":[150],"on":[151],"carefully":[152],"designed":[153],"synthetic":[154],"three":[157,170],"state-of-the-art":[158],"retrieval.":[162],"This":[163],"results":[164],"significant":[166],"improvements":[167],"all":[169],"models,":[171],"both":[172],"terms":[174,182],"standard":[177],"performance":[179],"metric.":[187],"The":[188],"code":[189],"available":[191],"https://github.com/ExplainableML/Spurious_CM_Retrieval.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}