{"id":"https://openalex.org/W4401609110","doi":"https://doi.org/10.1109/icasspw62465.2024.10625908","title":"Structured Lottery Ticket Hypothesis for Effective Deep Neural Network Model Size Reduction","display_name":"Structured Lottery Ticket Hypothesis for Effective Deep Neural Network Model Size Reduction","publication_year":2024,"publication_date":"2024-04-14","ids":{"openalex":"https://openalex.org/W4401609110","doi":"https://doi.org/10.1109/icasspw62465.2024.10625908"},"language":"en","primary_location":{"id":"doi:10.1109/icasspw62465.2024.10625908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icasspw62465.2024.10625908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","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/A5068538481","display_name":"Arijit Ukil","orcid":"https://orcid.org/0000-0003-1794-6719"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arijit Ukil","raw_affiliation_strings":["Tata Consultancy Services,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037806789","display_name":"Ishan Sahu","orcid":"https://orcid.org/0000-0002-0987-886X"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ishan Sahu","raw_affiliation_strings":["Tata Consultancy Services,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108330054","display_name":"Mridul Biswas","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mridul Biswas","raw_affiliation_strings":["Tata Consultancy Services,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072563444","display_name":"Arpan Pal","orcid":"https://orcid.org/0000-0001-9101-8051"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arpan Pal","raw_affiliation_strings":["Tata Consultancy Services,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020310463","display_name":"Angshul Majumdar","orcid":"https://orcid.org/0000-0002-1065-3000"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Angshul Majumdar","raw_affiliation_strings":["Indraprastha Institute of Information Technology,Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology,Delhi,India","institution_ids":["https://openalex.org/I119939252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52318965,"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":"330","last_page":"334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.1843000054359436,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.1843000054359436,"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/reduction","display_name":"Reduction (mathematics)","score":0.7145642042160034},{"id":"https://openalex.org/keywords/lottery","display_name":"Lottery","score":0.6900179386138916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6590870022773743},{"id":"https://openalex.org/keywords/ticket","display_name":"Ticket","score":0.6544404625892639},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5501435995101929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3816774785518646},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23637744784355164},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20980116724967957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1437138319015503}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.7145642042160034},{"id":"https://openalex.org/C2777340749","wikidata":"https://www.wikidata.org/wiki/Q6684955","display_name":"Lottery","level":2,"score":0.6900179386138916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6590870022773743},{"id":"https://openalex.org/C2776540713","wikidata":"https://www.wikidata.org/wiki/Q7800647","display_name":"Ticket","level":2,"score":0.6544404625892639},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5501435995101929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3816774785518646},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23637744784355164},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20980116724967957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1437138319015503},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icasspw62465.2024.10625908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icasspw62465.2024.10625908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.44999998807907104,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2551393996","https://openalex.org/W2767510344","https://openalex.org/W2805003733","https://openalex.org/W2902644322","https://openalex.org/W2915589364","https://openalex.org/W2964137095","https://openalex.org/W2988244882","https://openalex.org/W3034234149","https://openalex.org/W3034665240","https://openalex.org/W3118608800","https://openalex.org/W4280523858","https://openalex.org/W4283066473","https://openalex.org/W4287715551","https://openalex.org/W4294975181","https://openalex.org/W4388092867","https://openalex.org/W6751979845","https://openalex.org/W6759263581","https://openalex.org/W6779580321","https://openalex.org/W6780835498","https://openalex.org/W6787972765","https://openalex.org/W6795940312","https://openalex.org/W6799372109","https://openalex.org/W6838988473","https://openalex.org/W6840599818","https://openalex.org/W6858344837"],"related_works":["https://openalex.org/W2004731113","https://openalex.org/W1556639976","https://openalex.org/W2366147166","https://openalex.org/W2394167907","https://openalex.org/W2139765960","https://openalex.org/W2128949092","https://openalex.org/W2357035722","https://openalex.org/W2066997075","https://openalex.org/W2368351749","https://openalex.org/W1899764947"],"abstract_inverted_index":{"Lottery":[0],"ticket":[1],"hypothesis":[2],"(LTH)":[3],"has":[4],"supporting":[5],"evidence":[6],"that":[7,44],"a":[8,68],"subset":[9],"of":[10,19,34,53,70,85,100,103,117],"network":[11,23],"parameters":[12],"is":[13,27,38,61],"able":[14],"to":[15,40,114,143,146],"provide":[16],"similar":[17],"performance":[18,116],"large":[20],"deep":[21],"neural":[22],"models.":[24],"While":[25],"pruning":[26,90],"implicit":[28],"in":[29,152],"LTH,":[30],"the":[31,58,78,98,104,115,118,126,144],"explicit":[32],"benefit":[33],"model":[35,59,72,96,124],"size":[36,73,95,111,123],"reduction":[37],"yet":[39],"be":[41],"achieved":[42],"given":[43],"LTH":[45,86],"only":[46],"produces":[47],"zero-weight":[48],"parameters.":[49],"The":[50,121],"arbitrary":[51],"removal":[52,74],"zero":[54],"weight":[55],"nodes":[56,106],"from":[57],"graph":[60],"non-trivial.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66],"propose":[67],"method":[69],"LTH-integrated":[71],"by":[75],"systemically":[76,108],"eliminating":[77],"most":[79],"sparsified":[80,105],"layers":[81],"after":[82],"each":[83],"episode":[84],"iteration":[87],"through":[88],"structural":[89],"transformation.":[91],"Our":[92],"proposed":[93],"LTH-Reduced":[94],"imbibes":[97],"capability":[99],"effective":[101],"discovery":[102],"and":[107,131,138,149],"generates":[109],"smaller":[110,122,135],"models":[112],"close":[113],"base":[119],"model.":[120],"reduces":[125],"computational":[127],"burden,":[128],"energy":[129],"consumption,":[130],"latency":[132],"along":[133],"with":[134],"memory":[136],"requirements":[137],"thus,":[139],"it":[140],"leads":[141],"us":[142],"opportunity":[145],"develop":[147],"niche":[148],"important":[150],"applications":[151],"different":[153],"domains":[154],"including":[155],"automobiles,":[156],"robotics,":[157],"healthcare":[158],"etc.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}