{"id":"https://openalex.org/W3097304224","doi":"https://doi.org/10.1007/978-3-030-58526-6_16","title":"Differentiable Joint Pruning and Quantization for Hardware Efficiency","display_name":"Differentiable Joint Pruning and Quantization for Hardware Efficiency","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3097304224","doi":"https://doi.org/10.1007/978-3-030-58526-6_16","mag":"3097304224"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58526-6_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58526-6_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","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/A5100346983","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0001-6866-2076"},"institutions":[{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ying Wang","raw_affiliation_strings":["Qualcomm AI Research, San Diego, USA"],"raw_orcid":"https://orcid.org/0000-0001-6866-2076","affiliations":[{"raw_affiliation_string":"Qualcomm AI Research, San Diego, USA","institution_ids":["https://openalex.org/I4210087596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101624801","display_name":"Yadong Lu","orcid":"https://orcid.org/0000-0001-8754-135X"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yadong Lu","raw_affiliation_strings":["University of California, Irvine, USA"],"raw_orcid":"https://orcid.org/0000-0001-8754-135X","affiliations":[{"raw_affiliation_string":"University of California, Irvine, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082671220","display_name":"Tijmen Blankevoort","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tijmen Blankevoort","raw_affiliation_strings":["Qualcomm AI Research, Amsterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qualcomm AI Research, Amsterdam, The Netherlands","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100346983"],"corresponding_institution_ids":["https://openalex.org/I4210087596"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":5.2934,"has_fulltext":false,"cited_by_count":69,"citation_normalized_percentile":{"value":0.9586823,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"259","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T11019","display_name":"Image Enhancement Techniques","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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9973000288009644,"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/quantization","display_name":"Quantization (signal processing)","score":0.8568074107170105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7629294991493225},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.49624401330947876},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4786066710948944},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.474186509847641},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4456077516078949},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42198535799980164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3240286111831665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19183194637298584}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.8568074107170105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7629294991493225},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.49624401330947876},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4786066710948944},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.474186509847641},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4456077516078949},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42198535799980164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3240286111831665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19183194637298584},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-58526-6_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58526-6_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1686946872","https://openalex.org/W2194775991","https://openalex.org/W2405920868","https://openalex.org/W2619890685","https://openalex.org/W2707890836","https://openalex.org/W2783873922","https://openalex.org/W2793950911","https://openalex.org/W2798693909","https://openalex.org/W2799197246","https://openalex.org/W2808168148","https://openalex.org/W2809624076","https://openalex.org/W2886851211","https://openalex.org/W2899303916","https://openalex.org/W2945908221","https://openalex.org/W2947591755","https://openalex.org/W2962921245","https://openalex.org/W2963163009","https://openalex.org/W2963363373","https://openalex.org/W2964164125","https://openalex.org/W2964297791","https://openalex.org/W2964299589","https://openalex.org/W2981751377","https://openalex.org/W2982041622","https://openalex.org/W2982479999","https://openalex.org/W2989530497","https://openalex.org/W2996548663","https://openalex.org/W2998506323","https://openalex.org/W3000556572","https://openalex.org/W3017746288","https://openalex.org/W3034714646","https://openalex.org/W6602554868","https://openalex.org/W6603692524","https://openalex.org/W6603717528","https://openalex.org/W6603860191","https://openalex.org/W6821384415"],"related_works":["https://openalex.org/W4285277090","https://openalex.org/W4327738859","https://openalex.org/W2348722996","https://openalex.org/W2334570605","https://openalex.org/W3181683615","https://openalex.org/W4286826125","https://openalex.org/W1633485514","https://openalex.org/W1980454230","https://openalex.org/W2300851791","https://openalex.org/W1604739066"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
