{"id":"https://openalex.org/W3193445118","doi":"https://doi.org/10.1109/icip42928.2021.9506632","title":"Hybrid Pruning And Sparsification","display_name":"Hybrid Pruning And Sparsification","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3193445118","doi":"https://doi.org/10.1109/icip42928.2021.9506632","mag":"3193445118"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","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/A5002546998","display_name":"Hamed R. Tavakoli","orcid":"https://orcid.org/0000-0002-9466-9148"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Hamed R. Tavakoli","raw_affiliation_strings":["Nokia Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088280335","display_name":"Joachim Wabnig","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joachim Wabnig","raw_affiliation_strings":["Nokia Bell Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049106121","display_name":"Francesco Cricri","orcid":"https://orcid.org/0000-0002-1521-420X"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Francesco Cricri","raw_affiliation_strings":["Nokia Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100671939","display_name":"Honglei Zhang","orcid":"https://orcid.org/0000-0002-8229-852X"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Honglei Zhang","raw_affiliation_strings":["Nokia Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015289739","display_name":"Emre Aksu","orcid":"https://orcid.org/0000-0001-7363-2824"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Emre Aksu","raw_affiliation_strings":["Nokia Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084787837","display_name":"Iraj Saniee","orcid":"https://orcid.org/0000-0001-9162-9194"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iraj Saniee","raw_affiliation_strings":["Nokia Bell Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3542","last_page":"3546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9975000023841858,"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/regularization","display_name":"Regularization (linguistics)","score":0.7500859498977661},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6841980814933777},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5541316270828247},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.552825927734375},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5326544642448425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48057985305786133},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45098528265953064},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43575331568717957},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.43253570795059204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4094550609588623},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18347817659378052}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7500859498977661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6841980814933777},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5541316270828247},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.552825927734375},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5326544642448425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48057985305786133},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45098528265953064},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43575331568717957},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.43253570795059204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4094550609588623},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18347817659378052},{"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","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":18,"referenced_works":["https://openalex.org/W2125389748","https://openalex.org/W2134273960","https://openalex.org/W2766839578","https://openalex.org/W2894740066","https://openalex.org/W2942847156","https://openalex.org/W2962965870","https://openalex.org/W2965862774","https://openalex.org/W4287828539","https://openalex.org/W4394650770","https://openalex.org/W6677103964","https://openalex.org/W6678583879","https://openalex.org/W6679651198","https://openalex.org/W6726275242","https://openalex.org/W6745499037","https://openalex.org/W6755166560","https://openalex.org/W6762164568","https://openalex.org/W6774302960","https://openalex.org/W6995610602"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W2395294869","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W4206442282","https://openalex.org/W2384505857","https://openalex.org/W2355171581","https://openalex.org/W4220659530"],"abstract_inverted_index":{"A":[0],"hybrid":[1,64],"approach":[2,65],"based":[3,36],"on":[4,37,88],"the":[5,25,46],"combination":[6],"of":[7],"saliency-based":[8],"neural":[9,78],"pruning":[10],"and":[11,40,99],"regularization-based":[12,74],"sparsification":[13,75],"is":[14,50],"proposed.":[15],"We":[16,60],"propose":[17],"using":[18],"a":[19,33,53,63],"graph":[20],"diffusion":[21],"process":[22],"for":[23,28,76],"determining":[24],"neuron":[26],"importance":[27],"pruning.":[29],"Then,":[30],"we":[31,83],"use":[32],"regularization":[34],"loss":[35],"weighted":[38],"$L_{1}-$norm":[39],"$L_{2}-$norm":[41],"during":[42],"fine-tuning":[43],"to":[44,56,72],"recover":[45],"lost":[47],"performance.":[48],"This":[49],"followed":[51],"by":[52],"threshold":[54],"step":[55],"further":[57],"impose":[58],"sparsification.":[59],"demonstrate":[61],"such":[62],"achieves":[66],"significantly":[67],"better":[68],"performance":[69],"in":[70],"comparison":[71],"purely":[73],"large":[77],"networks.":[79],"To":[80],"this":[81],"end,":[82],"assessed":[84],"our":[85],"proposed":[86],"method":[87],"three":[89],"tasks,":[90],"including:":[91],"image":[92,100],"classification":[93,98],"(3":[94],"network":[95],"architectures),":[96],"audio":[97],"compression.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
