{"id":"https://openalex.org/W3004718729","doi":"https://doi.org/10.1109/asicon47005.2019.8983429","title":"Learning Sparse Patterns in Deep Neural Networks","display_name":"Learning Sparse Patterns in Deep Neural Networks","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3004718729","doi":"https://doi.org/10.1109/asicon47005.2019.8983429","mag":"3004718729"},"language":"en","primary_location":{"id":"doi:10.1109/asicon47005.2019.8983429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon47005.2019.8983429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on ASIC (ASICON)","raw_type":"proceedings-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":"https://openalex.org/A5101070527","display_name":"Weijing Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijing Wen","raw_affiliation_strings":["State Key Lab of ASIC &#x0026; System, Fudan University,Shanghai,China,201203","State Key Lab of ASIC & System, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of ASIC &#x0026; System, Fudan University,Shanghai,China,201203","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"State Key Lab of ASIC & System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045464812","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0003-2164-8175"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["State Key Lab of ASIC &#x0026; System, Fudan University,Shanghai,China,201203","State Key Lab of ASIC & System, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of ASIC &#x0026; System, Fudan University,Shanghai,China,201203","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"State Key Lab of ASIC & System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101680116","display_name":"Yangfeng Su","orcid":"https://orcid.org/0000-0002-8744-1591"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangfeng Su","raw_affiliation_strings":["Fudan University,Shanghai,China,200433","Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054960059","display_name":"Dian Zhou","orcid":"https://orcid.org/0000-0002-2648-5232"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dian Zhou","raw_affiliation_strings":["State Key Lab of ASIC &#x0026; System, Fudan University,Shanghai,China,201203","State Key Lab of ASIC & System, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of ASIC &#x0026; System, Fudan University,Shanghai,China,201203","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"State Key Lab of ASIC & System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064213921","display_name":"Xuan Zeng","orcid":"https://orcid.org/0000-0002-8097-4053"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Zeng","raw_affiliation_strings":["State Key Lab of ASIC &#x0026; System, Fudan University,Shanghai,China,201203","State Key Lab of ASIC & System, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of ASIC &#x0026; System, Fudan University,Shanghai,China,201203","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"State Key Lab of ASIC & System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101070527"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56533823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9987999796867371,"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/T10320","display_name":"Neural Networks and Applications","score":0.9980000257492065,"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":0.7153202891349792},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5956843495368958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5954084396362305},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5379019975662231},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3711804747581482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7153202891349792},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5956843495368958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5954084396362305},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5379019975662231},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3711804747581482}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asicon47005.2019.8983429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon47005.2019.8983429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on ASIC (ASICON)","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/W1686810756","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2119144962","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2513419314","https://openalex.org/W2605135468","https://openalex.org/W2883028206","https://openalex.org/W2962851801","https://openalex.org/W2963000224","https://openalex.org/W4244330903","https://openalex.org/W6725543821"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Acceleration":[0],"in":[1,15],"deeper":[2],"neural":[3,36,96],"networks":[4,97],"is":[5],"hindered":[6],"by":[7,55],"high":[8],"demand":[9],"for":[10,33],"computation":[11],"and":[12,50],"memory":[13],"storage":[14],"resource":[16],"constrained":[17],"devices.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22],"propose":[23],"a":[24],"novel":[25],"regularization":[26,49,61],"method":[27,62],"to":[28],"learn":[29],"hardware-friendly":[30],"sparse":[31,43,58,84],"structures":[32],"deep":[34,95],"convolutional":[35],"networks.":[37],"A":[38],"limited":[39,80],"number":[40,81],"of":[41,70,82,112,117],"fixed":[42,57,83],"patterns":[44,85],"are":[45,53],"learned":[46],"through":[47],"the":[48,51,73,88],"filters":[52],"represented":[54],"these":[56],"patterns.":[59],"Our":[60,91],"can":[63,107],"produce":[64],"compact":[65],"models":[66],"with":[67,98,114],"higher":[68,110],"degree":[69,111],"sparsity":[71,76,113],"than":[72],"state-of-the-art":[74],"structured":[75],"learning":[77],"method.":[78],"The":[79],"also":[86],"facilitate":[87],"hardware":[89],"implementation.":[90],"experiments":[92],"on":[93],"several":[94],"image":[99],"classification":[100],"tasks":[101],"show":[102],"that":[103],"our":[104],"proposed":[105],"approach":[106],"achieve":[108],"remarkably":[109],"acceptable":[115],"loss":[116],"accuracy.":[118]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
