{"id":"https://openalex.org/W4320169939","doi":"https://doi.org/10.48550/arxiv.2201.12904","title":"COIN++: Neural Compression Across Modalities","display_name":"COIN++: Neural Compression Across Modalities","publication_year":2022,"publication_date":"2022-01-30","ids":{"openalex":"https://openalex.org/W4320169939","doi":"https://doi.org/10.48550/arxiv.2201.12904"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2201.12904","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.12904","pdf_url":"https://arxiv.org/pdf/2201.12904","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":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2201.12904","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082290231","display_name":"Emilien Dupont","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dupont, Emilien","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007410227","display_name":"Hrushikesh Loya","orcid":"https://orcid.org/0000-0002-4587-6378","observed_orcids":["https://orcid.org/0000-0002-4587-6378"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Loya, Hrushikesh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064106212","display_name":"Milad Alizadeh","orcid":"https://orcid.org/0000-0002-3097-0214","observed_orcids":["https://orcid.org/0000-0002-3097-0214"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alizadeh, Milad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103022758","display_name":"Adam Goli\u0144ski","orcid":"https://orcid.org/0000-0002-8873-1072","observed_orcids":["https://orcid.org/0000-0002-8873-1072"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Goli\u0144ski, Adam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064373793","display_name":"Yee Whye Teh","orcid":"https://orcid.org/0000-0001-5365-6933","observed_orcids":["https://orcid.org/0000-0001-5365-6933"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Teh, Yee Whye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5091677854","display_name":"Arnaud Doucet B","orcid":"https://orcid.org/0000-0002-7662-419X","observed_orcids":["https://orcid.org/0000-0002-7662-419X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Doucet, Arnaud","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":43,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9976000189781189,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9976000189781189,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.00039999998989515007,"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/neural-compression","display_name":"neural compression","score":0.9620000123977661},{"id":"https://openalex.org/keywords/implicit-neural-representations","display_name":"implicit neural representations","score":0.8790000081062317},{"id":"https://openalex.org/keywords/meta-learning","display_name":"meta-learning","score":0.6510000228881836},{"id":"https://openalex.org/keywords/quantization","display_name":"quantization","score":0.7170000076293945},{"id":"https://openalex.org/keywords/entropy-coding","display_name":"entropy coding","score":0.9890000224113464},{"id":"https://openalex.org/keywords/autoencoder","display_name":"autoencoder","score":0.6520000100135803},{"id":"https://openalex.org/keywords/image-compression","display_name":"image compression","score":0.765999972820282},{"id":"https://openalex.org/keywords/audio-compression","display_name":"audio compression","score":0.9240000247955322}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7990344762802124},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7193695902824402},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6677263975143433},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6650059223175049},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5519610047340393},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5191625356674194},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5132625102996826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.483280211687088},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44355782866477966},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.4418526887893677},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.422607958316803},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.41806501150131226},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2201.12904","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.12904","pdf_url":"https://arxiv.org/pdf/2201.12904","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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2201.12904","doi":"https://doi.org/10.48550/arxiv.2201.12904","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2201.12904","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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2201.12904","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2201.12904","pdf_url":"https://arxiv.org/pdf/2201.12904","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":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4317942111","https://openalex.org/W3133683156","https://openalex.org/W7133245266","https://openalex.org/W4387294209","https://openalex.org/W7216744568","https://openalex.org/W4226196719","https://openalex.org/W2951136586","https://openalex.org/W4399283337","https://openalex.org/W7126072271","https://openalex.org/W4403943170"],"abstract_inverted_index":{"Neural":[0],"compression":[1,27,104],"algorithms":[2],"are":[3],"typically":[4],"based":[5,41],"on":[6,42],"autoencoders":[7],"that":[8,29,52],"require":[9],"specialized":[10],"encoder":[11],"and":[12,96,133,137],"decoder":[13],"architectures":[14],"for":[15,90],"different":[16],"data":[17,36,44,129],"modalities.":[18,37],"In":[19],"this":[20],"paper,":[21],"we":[22,77],"propose":[23],"COIN++,":[24],"a":[25,32,82,87],"neural":[26,47,50,74],"framework":[28],"seamlessly":[30],"handles":[31],"wide":[33],"range":[34],"of":[35,67,71,113,123],"Our":[38],"approach":[39],"is":[40],"converting":[43],"to":[45,59,81,102,116,135],"implicit":[46,73],"representations,":[48],"i.e.":[49],"functions":[51],"map":[53],"coordinates":[54],"(such":[55,61],"as":[56,62,86],"pixel":[57],"locations)":[58],"features":[60],"RGB":[63],"values).":[64],"Then,":[65],"instead":[66],"storing":[68],"the":[69,72,91,121],"weights":[70],"representation":[75],"directly,":[76],"store":[78],"modulations":[79],"applied":[80],"meta-learned":[83],"base":[84],"network":[85],"compressed":[88],"code":[89,98],"data.":[92,139],"We":[93,118],"further":[94],"quantize":[95],"entropy":[97],"these":[99],"modulations,":[100],"leading":[101],"large":[103],"gains":[105],"while":[106],"reducing":[107],"encoding":[108],"time":[109],"by":[110,126],"two":[111],"orders":[112],"magnitude":[114],"compared":[115],"baselines.":[117],"empirically":[119],"demonstrate":[120],"feasibility":[122],"our":[124],"method":[125],"compressing":[127],"various":[128],"modalities,":[130],"from":[131],"images":[132],"audio":[134],"medical":[136],"climate":[138]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-02-13T00:00:00"}