{"id":"https://openalex.org/W2794791688","doi":"https://doi.org/10.1007/978-3-030-11018-5_37","title":"Adversarial Network Compression","display_name":"Adversarial Network Compression","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2794791688","doi":"https://doi.org/10.1007/978-3-030-11018-5_37","mag":"2794791688"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-11018-5_37","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-11018-5_37","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":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1803.10750","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027065196","display_name":"Vasileios Belagiannis","orcid":"https://orcid.org/0000-0003-0960-8453"},"institutions":[{"id":"https://openalex.org/I4210103613","display_name":"OSRAM (Germany)","ror":"https://ror.org/01c0x3431","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210103613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vasileios Belagiannis","raw_affiliation_strings":["Innovation OSRAM GmbH, Garching b. M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation OSRAM GmbH, Garching b. M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I4210103613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014777005","display_name":"Azade Farshad","orcid":"https://orcid.org/0000-0002-1080-1587"},"institutions":[{"id":"https://openalex.org/I4210103613","display_name":"OSRAM (Germany)","ror":"https://ror.org/01c0x3431","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210103613"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Azade Farshad","raw_affiliation_strings":["Innovation OSRAM GmbH, Garching b. M\u00fcnchen, Germany","Technische Universit\u00e4t M\u00fcnchen, Garching b. M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation OSRAM GmbH, Garching b. M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I4210103613"]},{"raw_affiliation_string":"Technische Universit\u00e4t M\u00fcnchen, Garching b. M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033120247","display_name":"Fabio Galasso","orcid":"https://orcid.org/0000-0003-1875-7813"},"institutions":[{"id":"https://openalex.org/I4210103613","display_name":"OSRAM (Germany)","ror":"https://ror.org/01c0x3431","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210103613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabio Galasso","raw_affiliation_strings":["Innovation OSRAM GmbH, Garching b. M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation OSRAM GmbH, Garching b. M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I4210103613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.5555,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89217683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"431","last_page":"449"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9976999759674072,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9976999759674072,"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":0.9976999759674072,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9970999956130981,"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/discriminator","display_name":"Discriminator","score":0.8905253410339355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7417885661125183},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7284337282180786},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6547578573226929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5653943419456482},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5475257635116577},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5203951597213745},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5143052339553833},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.494599312543869},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.49281051754951477},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48015493154525757},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3600813150405884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09358218312263489}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8905253410339355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7417885661125183},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7284337282180786},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6547578573226929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5653943419456482},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5475257635116577},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5203951597213745},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5143052339553833},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.494599312543869},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.49281051754951477},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48015493154525757},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3600813150405884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09358218312263489},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-030-11018-5_37","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-11018-5_37","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"},{"id":"pmh:oai:arXiv.org:1803.10750","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.10750","pdf_url":"https://arxiv.org/pdf/1803.10750","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2794791688","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1803.10750","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1803.10750","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1803.10750","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1803.10750","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.10750","pdf_url":"https://arxiv.org/pdf/1803.10750","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1690739335","https://openalex.org/W1724438581","https://openalex.org/W1799366690","https://openalex.org/W1821462560","https://openalex.org/W1902934009","https://openalex.org/W1996901117","https://openalex.org/W2004915807","https://openalex.org/W2036317923","https://openalex.org/W2108598243","https://openalex.org/W2121775913","https://openalex.org/W2125389028","https://openalex.org/W2131524184","https://openalex.org/W2152332944","https://openalex.org/W2154579312","https://openalex.org/W2161758346","https://openalex.org/W2167215970","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2233116163","https://openalex.org/W2279098554","https://openalex.org/W2294370754","https://openalex.org/W2300242332","https://openalex.org/W2300770211","https://openalex.org/W2302255633","https://openalex.org/W2307770531","https://openalex.org/W2331143823","https://openalex.org/W2335728318","https://openalex.org/W2401231614","https://openalex.org/W2402040300","https://openalex.org/W2405920868","https://openalex.org/W2412782625","https://openalex.org/W2515385951","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2552465644","https://openalex.org/W2560017826","https://openalex.org/W2592916831","https://openalex.org/W2593245696","https://openalex.org/W2593768305","https://openalex.org/W2612445135","https://openalex.org/W2739879705","https://openalex.org/W2743473392","https://openalex.org/W2750384547","https://openalex.org/W2783879794","https://openalex.org/W2787752464","https://openalex.org/W2798603777","https://openalex.org/W2799197246","https://openalex.org/W2894135384","https://openalex.org/W2949987290","https://openalex.org/W2949999304","https://openalex.org/W2950762923","https://openalex.org/W2950967261","https://openalex.org/W2951583185","https://openalex.org/W2952432176","https://openalex.org/W2953328958","https://openalex.org/W2962785568","https://openalex.org/W2963073614","https://openalex.org/W2963125010","https://openalex.org/W2963145730","https://openalex.org/W2963351448","https://openalex.org/W2963373786","https://openalex.org/W2963448913","https://openalex.org/W2963674932","https://openalex.org/W2963826681","https://openalex.org/W2964137095","https://openalex.org/W2964299589","https://openalex.org/W3118608800","https://openalex.org/W6600007113","https://openalex.org/W6600116659","https://openalex.org/W6600291067","https://openalex.org/W6600336938","https://openalex.org/W6600679772","https://openalex.org/W6601031873","https://openalex.org/W6603692524","https://openalex.org/W6604190760","https://openalex.org/W6608093658","https://openalex.org/W6628107832","https://openalex.org/W6713134421","https://openalex.org/W6828894009"],"related_works":["https://openalex.org/W1821462560","https://openalex.org/W2903135068","https://openalex.org/W3136251767","https://openalex.org/W2194775991","https://openalex.org/W3166851428","https://openalex.org/W3111734603","https://openalex.org/W3201676473","https://openalex.org/W3157492528","https://openalex.org/W3096315052","https://openalex.org/W2953054173","https://openalex.org/W3123519610","https://openalex.org/W3169544834","https://openalex.org/W2997564604","https://openalex.org/W2806103482","https://openalex.org/W3047535539","https://openalex.org/W2787751390","https://openalex.org/W2963167917","https://openalex.org/W3161703143","https://openalex.org/W2973194955","https://openalex.org/W3036808602"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}