{"id":"https://openalex.org/W2808145095","doi":"https://doi.org/10.24963/ijcai.2018/380","title":"Deterministic Binary Filters for Convolutional Neural Networks","display_name":"Deterministic Binary Filters for Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2808145095","doi":"https://doi.org/10.24963/ijcai.2018/380","mag":"2808145095"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/380","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/380","pdf_url":"https://www.ijcai.org/proceedings/2018/0380.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0380.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001180818","display_name":"Vincent W.-S. Tseng","orcid":"https://orcid.org/0000-0002-4824-0615"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vincent W.-S. Tseng","raw_affiliation_strings":["Cornell University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087701164","display_name":"Sourav Bhattacharya","orcid":"https://orcid.org/0000-0001-9670-5264"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["FI","GB"],"is_corresponding":false,"raw_author_name":"Sourav Bhattacharya","raw_affiliation_strings":["Nokia Bell Labs","Nokia Bell Labs * University of Oxford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs","institution_ids":[]},{"raw_affiliation_string":"Nokia Bell Labs * University of Oxford","institution_ids":["https://openalex.org/I2738502077","https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104341951","display_name":"Javier Fernandez Marques","orcid":"https://orcid.org/0000-0003-3747-6523"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Javier Fern\u00e1ndez Marqu\u00e9s","raw_affiliation_strings":["University of Oxford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064106212","display_name":"Milad Alizadeh","orcid":"https://orcid.org/0000-0002-3097-0214"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Milad Alizadeh","raw_affiliation_strings":["University of Oxford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062859701","display_name":"Catherine Tong","orcid":"https://orcid.org/0000-0001-7570-4801"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Catherine Tong","raw_affiliation_strings":["University of Oxford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045638679","display_name":"Nicholas D. Lane","orcid":"https://orcid.org/0000-0002-2728-8273"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["FI","GB"],"is_corresponding":false,"raw_author_name":"Nicholas D. Lane","raw_affiliation_strings":["Nokia Bell Labs","University of Oxford","Nokia Bell Labs * University of Oxford"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs","institution_ids":[]},{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Nokia Bell Labs * University of Oxford","institution_ids":["https://openalex.org/I2738502077","https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2739","last_page":"2747"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9973000288009644,"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":0.9972000122070312,"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/binary-number","display_name":"Binary number","score":0.8007358312606812},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7785205841064453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7187669277191162},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6166082620620728},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5723593831062317},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5407995581626892},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5301345586776733},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.508756697177887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5045789480209351},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5027542114257812},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4559694826602936},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.44636744260787964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4363856017589569},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15497341752052307},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08285212516784668},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.06494748592376709}],"concepts":[{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.8007358312606812},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7785205841064453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7187669277191162},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6166082620620728},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5723593831062317},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5407995581626892},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5301345586776733},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.508756697177887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5045789480209351},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5027542114257812},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4559694826602936},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.44636744260787964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4363856017589569},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15497341752052307},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08285212516784668},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.06494748592376709},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2018/380","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/380","pdf_url":"https://www.ijcai.org/proceedings/2018/0380.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:434cdb31-4fb2-4b6b-8cd6-9139ff067a5c","is_oa":true,"landing_page_url":null,"pdf_url":"https://ora.ox.ac.uk/objects/uuid:434cdb31-4fb2-4b6b-8cd6-9139ff067a5c","source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference item"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/380","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/380","pdf_url":"https://www.ijcai.org/proceedings/2018/0380.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2845857258","display_name":null,"funder_award_id":"1892895","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3148462040","display_name":null,"funder_award_id":"EP/R512333/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3207594375","display_name":"DTP 2016-2017 University of Oxford","funder_award_id":"EP/N509711/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4420458172","display_name":"DTA - University of Oxford","funder_award_id":"EP/M50659X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6369625846","display_name":null,"funder_award_id":"1917012","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2808145095.pdf","grobid_xml":"https://content.openalex.org/works/W2808145095.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W78356000","https://openalex.org/W587794757","https://openalex.org/W1967267438","https://openalex.org/W1977295820","https://openalex.org/W1995319790","https://openalex.org/W2116258181","https://openalex.org/W2118673147","https://openalex.org/W2141038589","https://openalex.org/W2144161366","https://openalex.org/W2147800946","https://openalex.org/W2161758346","https://openalex.org/W2183631084","https://openalex.org/W2194775991","https://openalex.org/W2260663238","https://openalex.org/W2279098554","https://openalex.org/W2300242332","https://openalex.org/W2337546824","https://openalex.org/W2533484770","https://openalex.org/W2546302380","https://openalex.org/W2546536770","https://openalex.org/W2554242204","https://openalex.org/W2604319603","https://openalex.org/W2604406773","https://openalex.org/W2612445135","https://openalex.org/W2618530766","https://openalex.org/W2626549485","https://openalex.org/W2725001169","https://openalex.org/W2739601332","https://openalex.org/W2757644909","https://openalex.org/W2768214501","https://openalex.org/W2898907473","https://openalex.org/W2963551763","https://openalex.org/W2964299589","https://openalex.org/W4256576245","https://openalex.org/W4297775537","https://openalex.org/W4297821991"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W3202613528"],"abstract_inverted_index":{"We":[0,60],"propose":[1],"Deterministic":[2],"Binary":[3],"Filters,":[4],"an":[5],"approach":[6,24,32],"to":[7,42,50,100],"Convolutional":[8],"Neural":[9],"Networks":[10],"that":[11],"learns":[12],"weighting":[13],"coefficients":[14],"of":[15,21,25,53,84],"predefined":[16],"orthogonal":[17],"binary":[18,54,102],"basis":[19],"instead":[20],"the":[22,28,51],"conventional":[23],"learning":[26],"directly":[27],"convolutional":[29],"filters.":[30],"This":[31],"results":[33],"in":[34,94],"model":[35,46,96],"architectures":[36,72],"with":[37,78],"significantly":[38],"fewer":[39],"parameters":[40],"(4x":[41],"16x)":[43],"and":[44,76],"smaller":[45],"sizes":[47],"(32x":[48],"due":[49],"use":[52],"rather":[55],"than":[56],"floating":[57],"point":[58],"precision).":[59],"show":[61],"our":[62],"deterministic":[63],"filter":[64],"design":[65],"can":[66],"be":[67],"integrated":[68],"into":[69],"well-known":[70],"network":[71],"(such":[73],"as":[74,79,81],"ResNet":[75],"SqueezeNet)":[77],"little":[80],"2%":[82],"loss":[83],"accuracy":[85,107],"(under":[86],"datasets":[87],"like":[88],"CIFAR-10).":[89],"Under":[90],"ImageNet,":[91],"they":[92],"result":[93],"3x":[95],"size":[97],"reduction":[98],"compared":[99],"sub-megabyte":[101],"networks":[103],"while":[104],"reaching":[105],"comparable":[106],"levels.":[108]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}