{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:16:20Z","timestamp":1730247380542,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,8]],"date-time":"2023-10-08T00:00:00Z","timestamp":1696723200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,8]],"date-time":"2023-10-08T00:00:00Z","timestamp":1696723200000},"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":[[2023,10,8]]},"DOI":"10.1109\/icip49359.2023.10222316","type":"proceedings-article","created":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T13:58:31Z","timestamp":1694440711000},"page":"2450-2454","source":"Crossref","is-referenced-by-count":0,"title":["Inference Acceleration of Deep Learning Classifiers Based on RNN"],"prefix":"10.1109","author":[{"given":"Fekhr Eddine","family":"Keddous","sequence":"first","affiliation":[{"name":"University Paris Est Créteil,Laboratoire LISSI,Paris,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nadiya","family":"Shvai","sequence":"additional","affiliation":[{"name":"Cyclope.ai,Paris,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arcadi","family":"Llanza","sequence":"additional","affiliation":[{"name":"University Paris Est Créteil,Laboratoire LISSI,Paris,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amir","family":"Nakib","sequence":"additional","affiliation":[{"name":"University Paris Est Créteil,Laboratoire LISSI,Paris,France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10955-017-1806-y"},{"article-title":"Hopfield networks is all you need","year":"2020","author":"ramsauer","key":"ref12"},{"article-title":"Modern hopfield networks for few-and zero-shot reaction template prediction","year":"2021","author":"seidl","key":"ref15"},{"key":"ref14","first-page":"18832","article-title":"Modern hopfield networks and attention for immune repertoire classification","volume":"33","author":"widrich","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8893419"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW52791.2021.00082"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2021.3116470"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2016.2560222"},{"key":"ref21","article-title":"Learning both weights and connections for efficient neural network","volume":"28","author":"han","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1007\/s13748-019-00203-0","article-title":"Convolutional neural network: a review of models, methodologies and applications to object detection","volume":"9","author":"dhillon","year":"2020","journal-title":"Progress in Artificial Intelligence"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"simonyan","key":"ref1"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref17"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR-2018.2018.00095"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1109\/CVPR.2009.5206848","article-title":"Imagenet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"2009 IEEE Conference on Computer Vision and Pattern Recognition"},{"article-title":"Tiny imagenet challenge, cs231n","year":"2019","author":"wu","key":"ref18"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/BF00339943"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.10.008"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2496658"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.05.025"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-018-0556-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.03.080"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"}],"event":{"name":"2023 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2023,10,8]]},"location":"Kuala Lumpur, Malaysia","end":{"date-parts":[[2023,10,11]]}},"container-title":["2023 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10221937\/10221892\/10222316.pdf?arnumber=10222316","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T10:47:42Z","timestamp":1701254862000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10222316\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,8]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icip49359.2023.10222316","relation":{},"subject":[],"published":{"date-parts":[[2023,10,8]]}}}