{"id":"https://openalex.org/W3007566156","doi":"https://doi.org/10.1007/978-3-030-80129-8_17","title":"Neural Network Compression Framework for Fast Model Inference","display_name":"Neural Network Compression Framework for Fast Model Inference","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3007566156","doi":"https://doi.org/10.1007/978-3-030-80129-8_17","mag":"3007566156"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-80129-8_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-80129-8_17","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"},"type":"book-chapter","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/A5017762152","display_name":"Alexander Kozlov","orcid":"https://orcid.org/0000-0001-7650-0616"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Alexander Kozlov","raw_affiliation_strings":["Intel Corporation, Nizhny Novgorod, Nizhny Novgorod, Russia"],"affiliations":[{"raw_affiliation_string":"Intel Corporation, Nizhny Novgorod, Nizhny Novgorod, Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011297003","display_name":"Ivan Lazarevich","orcid":"https://orcid.org/0000-0001-9521-7832"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ivan Lazarevich","raw_affiliation_strings":["Intel Corporation, Nizhny Novgorod, Nizhny Novgorod, Russia"],"affiliations":[{"raw_affiliation_string":"Intel Corporation, Nizhny Novgorod, Nizhny Novgorod, Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072375510","display_name":"Vasily Shamporov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vasily Shamporov","raw_affiliation_strings":["Intel Corporation, Nizhny Novgorod, Nizhny Novgorod, Russia"],"affiliations":[{"raw_affiliation_string":"Intel Corporation, Nizhny Novgorod, Nizhny Novgorod, Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032973616","display_name":"Nikolay Lyalyushkin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nikolay Lyalyushkin","raw_affiliation_strings":["Intel Corporation, Nizhny Novgorod, Nizhny Novgorod, Russia"],"affiliations":[{"raw_affiliation_string":"Intel Corporation, Nizhny Novgorod, Nizhny Novgorod, Russia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011033139","display_name":"Yury Gorbachev","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yury Gorbachev","raw_affiliation_strings":["Intel Corporation, Nizhny Novgorod, Nizhny Novgorod, Russia"],"affiliations":[{"raw_affiliation_string":"Intel Corporation, Nizhny Novgorod, Nizhny Novgorod, Russia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017762152"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.421,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.98678563,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"213","last_page":"232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.998199999332428,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.998199999332428,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9932000041007996,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9912999868392944,"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":0.8298032283782959},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6583157777786255},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.639609694480896},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5115581154823303},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5044583082199097},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5043047666549683},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4810664653778076},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46132415533065796},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4550803601741791},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4515574872493744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44219517707824707},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4168780446052551},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4142468273639679},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21199455857276917},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20010042190551758},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1490803062915802},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12236478924751282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8298032283782959},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6583157777786255},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.639609694480896},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5115581154823303},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5044583082199097},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5043047666549683},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4810664653778076},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46132415533065796},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4550803601741791},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4515574872493744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44219517707824707},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4168780446052551},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4142468273639679},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21199455857276917},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20010042190551758},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1490803062915802},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12236478924751282},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-80129-8_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-80129-8_17","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1935978687","https://openalex.org/W2057450058","https://openalex.org/W2163605009","https://openalex.org/W2267635276","https://openalex.org/W2300242332","https://openalex.org/W2469490737","https://openalex.org/W2525778437","https://openalex.org/W2553902701","https://openalex.org/W2582745083","https://openalex.org/W2617247391","https://openalex.org/W2786771851","https://openalex.org/W2809624076","https://openalex.org/W2899771611","https://openalex.org/W2915589364","https://openalex.org/W2928560789","https://openalex.org/W2947644971","https://openalex.org/W2949382160","https://openalex.org/W2950141105","https://openalex.org/W2952344559","https://openalex.org/W2962685937","https://openalex.org/W2962851801","https://openalex.org/W2963000224","https://openalex.org/W2963674932","https://openalex.org/W2963821229","https://openalex.org/W2963828549","https://openalex.org/W2963918968","https://openalex.org/W2964081807","https://openalex.org/W2972918064","https://openalex.org/W2980282514","https://openalex.org/W2982041622","https://openalex.org/W2989530497","https://openalex.org/W3208968887","https://openalex.org/W6600117060","https://openalex.org/W6600277285","https://openalex.org/W6604472716","https://openalex.org/W6610092848","https://openalex.org/W6640823432","https://openalex.org/W6821384415"],"related_works":["https://openalex.org/W2129829718","https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W4378191574","https://openalex.org/W2161981399","https://openalex.org/W2595043295","https://openalex.org/W2387043686","https://openalex.org/W2082769522"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6}],"updated_date":"2026-02-22T13:39:03.778224","created_date":"2025-10-10T00:00:00"}