{"id":"https://openalex.org/W3090434941","doi":"https://doi.org/10.1007/978-3-030-86380-7_19","title":"Weight and Gradient Centralization in\u00a0Deep Neural Networks","display_name":"Weight and Gradient Centralization in\u00a0Deep Neural Networks","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3090434941","doi":"https://doi.org/10.1007/978-3-030-86380-7_19","mag":"3090434941"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-86380-7_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-86380-7_19","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":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2010.00866","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015458683","display_name":"Wolfgang Fuhl","orcid":"https://orcid.org/0000-0001-7128-298X"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Wolfgang Fuhl","raw_affiliation_strings":["University T\u00fcbingen, T\u00fcbingen, Germany","University of T\u00fcbingen"],"raw_orcid":"https://orcid.org/0000-0001-7128-298X","affiliations":[{"raw_affiliation_string":"University T\u00fcbingen, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]},{"raw_affiliation_string":"University of T\u00fcbingen","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008809634","display_name":"Enkelejda Kasneci","orcid":"https://orcid.org/0000-0003-3146-4484"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Enkelejda Kasneci","raw_affiliation_strings":["University T\u00fcbingen, T\u00fcbingen, Germany","University of T\u00fcbingen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University T\u00fcbingen, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]},{"raw_affiliation_string":"University of T\u00fcbingen","institution_ids":["https://openalex.org/I8087733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015458683"],"corresponding_institution_ids":["https://openalex.org/I8087733"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.7559,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85840009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"227","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10320","display_name":"Neural Networks and Applications","score":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"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/normalization","display_name":"Normalization (sociology)","score":0.9572650194168091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6771561503410339},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6768314242362976},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6339194178581238},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5864423513412476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5623548626899719},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.4726506769657135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3381885588169098},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19242730736732483},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.05819711089134216}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.9572650194168091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6771561503410339},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6768314242362976},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6339194178581238},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5864423513412476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5623548626899719},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.4726506769657135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3381885588169098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19242730736732483},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.05819711089134216},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-030-86380-7_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-86380-7_19","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:2010.00866","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.00866","pdf_url":"https://arxiv.org/pdf/2010.00866","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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:3090434941","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2010.00866.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2010.00866","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2010.00866","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2010.00866","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.00866","pdf_url":"https://arxiv.org/pdf/2010.00866","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1665214252","https://openalex.org/W1677182931","https://openalex.org/W1815076433","https://openalex.org/W1826234144","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1980287119","https://openalex.org/W1981276685","https://openalex.org/W1982825626","https://openalex.org/W2037227137","https://openalex.org/W2087070363","https://openalex.org/W2099471712","https://openalex.org/W2112796928","https://openalex.org/W2115252128","https://openalex.org/W2131774270","https://openalex.org/W2146502635","https://openalex.org/W2194775991","https://openalex.org/W2256578114","https://openalex.org/W2402302915","https://openalex.org/W2502312327","https://openalex.org/W2519332860","https://openalex.org/W2531836693","https://openalex.org/W2600633878","https://openalex.org/W2603777577","https://openalex.org/W2613634806","https://openalex.org/W2730444669","https://openalex.org/W2751669091","https://openalex.org/W2767702016","https://openalex.org/W2780149736","https://openalex.org/W2783844464","https://openalex.org/W2795783309","https://openalex.org/W2796409754","https://openalex.org/W2805206942","https://openalex.org/W2805466601","https://openalex.org/W2806382857","https://openalex.org/W2889190845","https://openalex.org/W2899694408","https://openalex.org/W2900427309","https://openalex.org/W2914528607","https://openalex.org/W2933099034","https://openalex.org/W2946948240","https://openalex.org/W2947365893","https://openalex.org/W2949117887","https://openalex.org/W2951538619","https://openalex.org/W2962836826","https://openalex.org/W2963399222","https://openalex.org/W2963685250","https://openalex.org/W2969498159","https://openalex.org/W2997768619","https://openalex.org/W2998661336","https://openalex.org/W3014791201","https://openalex.org/W3028642772","https://openalex.org/W3033290417","https://openalex.org/W3034092125","https://openalex.org/W3080155310","https://openalex.org/W3100972044","https://openalex.org/W3103372211","https://openalex.org/W3110386488","https://openalex.org/W3118608800","https://openalex.org/W3160145939","https://openalex.org/W3162448371","https://openalex.org/W4250482878","https://openalex.org/W6679338098","https://openalex.org/W6828894009","https://openalex.org/W6842137259"],"related_works":["https://openalex.org/W3049532975","https://openalex.org/W2947365893","https://openalex.org/W2946948240","https://openalex.org/W2933099034","https://openalex.org/W2914528607","https://openalex.org/W2900427309","https://openalex.org/W2899694408","https://openalex.org/W2806382857","https://openalex.org/W2805466601","https://openalex.org/W2805206942","https://openalex.org/W2796409754","https://openalex.org/W2767702016","https://openalex.org/W2730444669","https://openalex.org/W2613634806","https://openalex.org/W2520890245","https://openalex.org/W2519332860","https://openalex.org/W2409999048","https://openalex.org/W2295566235","https://openalex.org/W2256808982","https://openalex.org/W2177921452"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
