{"id":"https://openalex.org/W4404295433","doi":"https://doi.org/10.1109/mmsp61759.2024.10743422","title":"Towards Reproducible Learning-Based Compression","display_name":"Towards Reproducible Learning-Based Compression","publication_year":2024,"publication_date":"2024-10-02","ids":{"openalex":"https://openalex.org/W4404295433","doi":"https://doi.org/10.1109/mmsp61759.2024.10743422"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp61759.2024.10743422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp61759.2024.10743422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5049361006","display_name":"Jiahao Pang","orcid":"https://orcid.org/0000-0002-8857-1152"},"institutions":[{"id":"https://openalex.org/I36326968","display_name":"InterDigital (United States)","ror":"https://ror.org/02w335z67","country_code":"US","type":"company","lineage":["https://openalex.org/I36326968"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiahao Pang","raw_affiliation_strings":["InterDigital,New York,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InterDigital,New York,USA","institution_ids":["https://openalex.org/I36326968"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051937086","display_name":"Muhammad Asad Lodhi","orcid":"https://orcid.org/0000-0002-9639-3288"},"institutions":[{"id":"https://openalex.org/I36326968","display_name":"InterDigital (United States)","ror":"https://ror.org/02w335z67","country_code":"US","type":"company","lineage":["https://openalex.org/I36326968"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muhammad Asad Lodhi","raw_affiliation_strings":["InterDigital,New York,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InterDigital,New York,USA","institution_ids":["https://openalex.org/I36326968"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109008235","display_name":"Junghyun Ahn","orcid":null},"institutions":[{"id":"https://openalex.org/I36326968","display_name":"InterDigital (United States)","ror":"https://ror.org/02w335z67","country_code":"US","type":"company","lineage":["https://openalex.org/I36326968"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junghyun Ahn","raw_affiliation_strings":["InterDigital,New York,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InterDigital,New York,USA","institution_ids":["https://openalex.org/I36326968"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101750851","display_name":"Yuning Huang","orcid":"https://orcid.org/0000-0002-6500-9335"},"institutions":[{"id":"https://openalex.org/I36326968","display_name":"InterDigital (United States)","ror":"https://ror.org/02w335z67","country_code":"US","type":"company","lineage":["https://openalex.org/I36326968"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuning Huang","raw_affiliation_strings":["InterDigital,New York,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InterDigital,New York,USA","institution_ids":["https://openalex.org/I36326968"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016854114","display_name":"Dong Tian","orcid":"https://orcid.org/0000-0002-2310-0974"},"institutions":[{"id":"https://openalex.org/I36326968","display_name":"InterDigital (United States)","ror":"https://ror.org/02w335z67","country_code":"US","type":"company","lineage":["https://openalex.org/I36326968"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Tian","raw_affiliation_strings":["InterDigital,New York,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InterDigital,New York,USA","institution_ids":["https://openalex.org/I36326968"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36326968"],"apc_list":null,"apc_paid":null,"fwci":0.3556,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57932908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9819999933242798,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9819999933242798,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9404000043869019,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9312000274658203,"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/computer-science","display_name":"Computer science","score":0.659186840057373},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5253790616989136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32393038272857666},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.16164541244506836},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.0823817253112793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659186840057373},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5253790616989136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32393038272857666},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.16164541244506836},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0823817253112793}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp61759.2024.10743422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp61759.2024.10743422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2150066425","https://openalex.org/W2769654144","https://openalex.org/W2913710883","https://openalex.org/W2964098744","https://openalex.org/W3102015846","https://openalex.org/W3137147200","https://openalex.org/W4221156617","https://openalex.org/W4221158907","https://openalex.org/W4287118909","https://openalex.org/W4302296459","https://openalex.org/W4310591442","https://openalex.org/W4387448007","https://openalex.org/W4399564039"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"A":[0],"deep":[1,27,50,91],"learning":[2,28,51],"system":[3],"typically":[4],"suffers":[5],"from":[6,35,67],"a":[7,78,84,89,114,141],"lack":[8],"of":[9,132,168],"reproducibility":[10,103],"that":[11,102],"is":[12,47,52,117,161],"partially":[13],"rooted":[14],"in":[15,26,38,54,83,177],"hardware":[16],"or":[17,139],"software":[18],"implementation":[19],"details.":[20],"The":[21,70,123],"irreproducibility":[22,45],"leads":[23],"to":[24,77,119],"skepticism":[25],"technologies":[29],"and":[30,60,180],"it":[31],"can":[32,73,104,152],"hinder":[33],"them":[34],"being":[36,162],"deployed":[37],"many":[39],"applications.":[40],"In":[41],"this":[42],"work,":[43],"the":[44,58,109,121,136,146,150,158,166,169],"issue":[46],"analyzed":[48],"where":[49],"employed":[53],"compression":[55,174,179],"systems":[56],"while":[57],"encoding":[59],"decoding":[61,71,143],"may":[62,126],"be":[63,106,127,153],"run":[64],"on":[65],"devices":[66],"different":[68,130],"manufacturers.":[69],"process":[72],"even":[74],"crash":[75],"due":[76],"single":[79],"bit":[80],"difference,":[81],"e.g.,":[82,176],"learning-based":[85,92,173],"entropy":[86],"coder.":[87],"For":[88],"given":[90],"module":[93],"with":[94],"limited":[95],"resources":[96],"for":[97,129,149,172],"protection,":[98],"we":[99],"first":[100],"suggest":[101],"only":[105],"assured":[107],"when":[108,157],"mismatches":[110],"are":[111],"bounded.":[112],"Then":[113],"safeguarding":[115],"mechanism":[116],"proposed":[118,124,170],"tackle":[120],"challenges.":[122],"method":[125],"applied":[128],"levels":[131],"protection":[133,151],"either":[134],"at":[135,140],"reconstruction":[137],"level":[138],"selected":[142],"level.":[144],"Furthermore,":[145],"overhead":[147],"introduced":[148],"scaled":[154],"down":[155],"accordingly":[156],"error":[159],"bound":[160],"suppressed.":[163],"Experiments":[164],"demonstrate":[165],"effectiveness":[167],"approach":[171],"systems,":[175],"image":[178],"point":[181],"cloud":[182],"compression.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
