{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T02:24:31Z","timestamp":1730255071667,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956482","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T19:34:13Z","timestamp":1669750453000},"page":"2246-2252","source":"Crossref","is-referenced-by-count":0,"title":["Combinatorial optimization for low bit-width neural networks"],"prefix":"10.1109","author":[{"given":"Han","family":"Zhou","sequence":"first","affiliation":[{"name":"Center for Processing Speech and Images,Dept. ESAT,KU Leuven,Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aida","family":"Ashrafi","sequence":"additional","affiliation":[{"name":"University of Bergen,Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew B.","family":"Blaschko","sequence":"additional","affiliation":[{"name":"Center for Processing Speech and Images,Dept. ESAT,KU Leuven,Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Maximization of non-monotone sub-modular functions","author":"gillenwater","year":"2014","journal-title":"Technical Report MS-CIS-14-01"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-0190(99)00031-9"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"journal-title":"Ternary Weight Networks","year":"2016","author":"li","key":"ref14"},{"article-title":"Neural networks with few multiplications","year":"2015","author":"lin","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107281"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3003836"},{"journal-title":"The Nature of Statistical Learning Theory","year":"2013","author":"vapnik","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2012.73"},{"key":"ref3","article-title":"Greedy layer-wise training of deep networks","volume":"19","author":"bengio","year":"2007","journal-title":"Advances in neural information processing systems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.23919\/DATE48585.2020.9116221"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.574"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01167"},{"key":"ref7","first-page":"3123","article-title":"Binaryconnect: Training deep neural networks with binary weights during propagations","author":"courbariaux","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref2","first-page":"583","article-title":"Greedy layerwise learning can scale to ImageNet","volume":"97","author":"belilovsky","year":"2019","journal-title":"Proceedings of the 36th International Conference on Machine Learning"},{"journal-title":"Learning with Submodular Functions A Convex Optimization Perspective","year":"2011","author":"bach","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1137\/090779346"},{"journal-title":"Combinatorial optimization for low bit-width neural networks","year":"2022","author":"zhou","key":"ref20"},{"key":"ref21","article-title":"R-gap: Recursive gradient attack on privacy","author":"zhu","year":"2021","journal-title":"International Conference on Learning Representations"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2022,8,21]]},"location":"Montreal, QC, Canada","end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956482.pdf?arnumber=9956482","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:04:29Z","timestamp":1671480269000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956482\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956482","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}