{"id":"https://openalex.org/W4409257338","doi":"https://doi.org/10.1109/tai.2025.3558718","title":"A Deterministic\u2013Probabilistic Approach to Neural Network Pruning","display_name":"A Deterministic\u2013Probabilistic Approach to Neural Network Pruning","publication_year":2025,"publication_date":"2025-04-08","ids":{"openalex":"https://openalex.org/W4409257338","doi":"https://doi.org/10.1109/tai.2025.3558718"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2025.3558718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3558718","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"},"type":"article","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":null,"display_name":"Soumyadipta Banerjee","orcid":"https://orcid.org/0009-0004-6668-4350"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumyadipta Banerjee","raw_affiliation_strings":["Department of Artificial Intelligence, Indian Institute of Technology, Kharagpur, West Bengal, India","Department of Artificial Intelligence, Indian Institute of Technology, Kharagpur, India"],"raw_orcid":"https://orcid.org/0009-0004-6668-4350","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Indian Institute of Technology, Kharagpur, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062553068","display_name":"Jiaul H. Paik","orcid":"https://orcid.org/0000-0003-1550-3586"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jiaul H. Paik","raw_affiliation_strings":["Department of Artificial Intelligence, Indian Institute of Technology, Kharagpur, West Bengal, India","Department of Artificial Intelligence, Indian Institute of Technology, Kharagpur, India"],"raw_orcid":"https://orcid.org/0000-0003-1550-3586","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Indian Institute of Technology, Kharagpur, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":2.792,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90192202,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"6","issue":"10","first_page":"2830","last_page":"2839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8906000256538391,"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/T10320","display_name":"Neural Networks and Applications","score":0.8906000256538391,"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/pruning","display_name":"Pruning","score":0.6799592971801758},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6007145643234253},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5911994576454163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.586026668548584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49139371514320374},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.4690777659416199},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4202047884464264},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.14926064014434814},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13880503177642822},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.04476773738861084}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6799592971801758},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6007145643234253},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5911994576454163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.586026668548584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49139371514320374},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.4690777659416199},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4202047884464264},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.14926064014434814},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13880503177642822},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.04476773738861084}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2025.3558718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3558718","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2007339694","https://openalex.org/W2036983007","https://openalex.org/W2092144367","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2131774270","https://openalex.org/W2157331557","https://openalex.org/W2194775991","https://openalex.org/W2551895583","https://openalex.org/W2928560789","https://openalex.org/W2963363373","https://openalex.org/W2964233199","https://openalex.org/W2964266063","https://openalex.org/W4401726555"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W2395294869","https://openalex.org/W2354938404","https://openalex.org/W2149846955","https://openalex.org/W1991381172","https://openalex.org/W2357447513","https://openalex.org/W127966330","https://openalex.org/W2369662652","https://openalex.org/W2378845890","https://openalex.org/W2386273025"],"abstract_inverted_index":{"Modern":[0],"deep":[1],"networks":[2,35],"are":[3,15],"highly":[4],"over-parameterized.":[5],"Thus,":[6],"training":[7],"and":[8,21,51,133,141],"testing":[9,124],"such":[10,129],"models":[11],"in":[12,83,100],"various":[13],"applications":[14],"computationally":[16],"intensive":[17],"with":[18],"excessive":[19],"memory":[20],"energy":[22],"requirements.":[23],"Network":[24],"pruning":[25,53,88],"aims":[26],"to":[27,116],"find":[28],"smaller":[29],"sub-networks":[30],"from":[31,114],"within":[32],"these":[33],"dense":[34],"that":[36,105],"do":[37],"not":[38],"compromise":[39],"on":[40,136],"the":[41,57,62,67,75,81,96,101],"test":[42],"accuracy.":[43],"In":[44],"this":[45],"article,":[46],"we":[47],"present":[48,102],"a":[49],"probabilistic":[50],"deterministic":[52],"methodology":[54],"which":[55,90],"determines":[56],"likelihood":[58],"of":[59,61,71,74,95],"retention":[60],"weight":[63],"parameters":[64],"by":[65],"modeling":[66],"layer":[68],"specific":[69],"distribution":[70],"extreme":[72],"values":[73],"weights.":[76],"Our":[77],"method":[78],"automatically":[79],"finds":[80],"sparsity":[82,97,111],"each":[84],"layer,":[85],"unlike":[86],"existing":[87],"techniques":[89],"require":[91],"an":[92],"explicit":[93],"input":[94],"information.":[98],"Experiments":[99],"work":[103],"show":[104],"Deterministic-Probabilistic":[106],"Pruning":[107],"consistently":[108],"achieves":[109],"high":[110],"levels,":[112],"ranging":[113],"65%":[115],"over":[117],"95%,":[118],"while":[119],"maintaining":[120],"comparable":[121],"or":[122],"improved":[123],"accuracy":[125],"across":[126],"multiple":[127],"datasets":[128],"as":[130],"MNIST,":[131],"CIFAR-10":[132],"Tiny":[134],"ImageNet,":[135],"architectures":[137],"including":[138],"VGG-16,":[139],"ResNet-18,":[140],"ResNet-50.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}