{"id":"https://openalex.org/W7162801200","doi":"https://doi.org/10.48550/arxiv.2605.29900","title":"OVA-IB: One vs All Information Bottleneck for Multi-Modal Alignment","display_name":"OVA-IB: One vs All Information Bottleneck for Multi-Modal Alignment","publication_year":2026,"publication_date":"2026-05-28","ids":{"openalex":"https://openalex.org/W7162801200","doi":"https://doi.org/10.48550/arxiv.2605.29900"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.29900","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.29900","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.29900","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137374153","display_name":"Tianchao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Tianchao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041358503","display_name":"Shujian Yu","orcid":"https://orcid.org/0000-0002-6385-1705"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Shujian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089611129","display_name":"Dawei Zu","orcid":"https://orcid.org/0000-0003-2258-7650"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zu, Xinrui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137371485","display_name":"Zhaolong Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Zhaolong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137372452","display_name":"Jeremy Gummeson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gummeson, Jeremy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088561209","display_name":"Jack C.P. Cheng","orcid":"https://orcid.org/0000-0002-1722-2617"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Jack C. P.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013414039","display_name":"Robert Jenssen","orcid":"https://orcid.org/0000-0002-7496-8474"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jenssen, Robert","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":0,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.2854999899864197,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.2854999899864197,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.2676999866962433,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.11169999837875366,"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/information-bottleneck-method","display_name":"Information bottleneck method","score":0.9247999787330627},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.7483000159263611},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7301999926567078},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5673999786376953},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.51419997215271},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.43639999628067017},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4268999993801117},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4237000048160553}],"concepts":[{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.9247999787330627},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.7483000159263611},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7301999926567078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5845000147819519},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5673999786376953},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.51419997215271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47040000557899475},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4268999993801117},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4237000048160553},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41510000824928284},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4131999909877777},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35350000858306885},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2623000144958496},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.25839999318122864}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.29900","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.29900","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.29900","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.29900","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Contrastive":[0],"learning":[1],"is":[2,114],"effective":[3],"for":[4,60,129,140,161],"aligning":[5],"paired":[6],"views":[7],"or":[8,49],"modalities,":[9,93],"but":[10,52],"alignment":[11,25,54,76],"beyond":[12],"two":[13],"modalities":[14],"remains":[15],"non-trivial":[16],"and":[17,30,67,155,186,192],"comparatively":[18],"underexplored.":[19],"Pairwise":[20],"CLIP-style":[21],"losses":[22],"decompose":[23],"multi-modal":[24,83],"into":[26],"independent":[27],"two-way":[28],"comparisons":[29],"therefore":[31],"do":[32],"not":[33,100],"explicitly":[34],"model":[35],"higher-order":[36],"dependencies":[37],"among":[38],"multiple":[39],"modalities.":[40,121,179],"Recent":[41],"beyond-pairwise":[42],"objectives":[43],"approach":[44],"this":[45],"problem":[46],"from":[47,90],"statistical":[48],"geometric":[50],"perspectives,":[51],"arbitrary-modality":[53,75,130],"still":[55],"lacks":[56],"a":[57,108,134,144,150,157],"principled":[58],"criterion":[59],"defining":[61],"what":[62],"each":[63,112,165],"modality":[64,113],"should":[65,86,96],"preserve":[66,87],"compress":[68,97],"relative":[69],"to":[70,107,118,143],"the":[71,78,91,119,177],"others.":[72],"We":[73,122],"revisit":[74],"through":[77],"Information":[79,126],"Bottleneck":[80,127],"principle.":[81],"In":[82],"learning,":[84],"sufficiency":[85,141],"information":[88,99],"predictable":[89],"remaining":[92,120,178],"while":[94],"minimality":[95,162],"modality-specific":[98],"supported":[101],"by":[102,163,176],"them.":[103],"This":[104],"naturally":[105],"leads":[106],"One-vs-All":[109,136],"view,":[110],"where":[111],"characterized":[115],"with":[116,172],"respect":[117],"propose":[123],"OVA-IB,":[124],"an":[125],"framework":[128],"alignment.":[131],"OVA-IB":[132],"optimizes":[133],"tractable":[135,158],"contrastive":[137],"lower":[138],"bound":[139],"connected":[142],"Dual":[145],"Total":[146],"Correlation-style":[147],"objective,":[148],"uses":[149],"parameter-free":[151],"geometry-aware":[152],"projection":[153],"score,":[154],"derives":[156],"upper-bound":[159],"regularizer":[160],"bounding":[164],"representation's":[166],"dependence":[167],"on":[168,181],"its":[169],"own":[170],"input":[171],"representation":[173],"distributions":[174],"induced":[175],"Experiments":[180],"classification,":[182],"regression,":[183],"modality-agnostic":[184],"evaluation,":[185],"cross-modal":[187],"retrieval":[188],"benchmarks":[189],"demonstrate":[190],"strong":[191],"robust":[193],"performance.":[194]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-30T00:00:00"}
