{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T09:40:38Z","timestamp":1725702038165},"reference-count":62,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"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":[[2020,10]]},"DOI":"10.1109\/iscas45731.2020.9181005","type":"proceedings-article","created":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T13:22:27Z","timestamp":1601385747000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["Algorithmic Enablers for Compact Neural Network Topology Hardware Design: Review and Trends"],"prefix":"10.1109","author":[{"given":"William","family":"Guicquero","sequence":"first","affiliation":[{"name":"CEA-LETI, F-38000 Grenoble, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arnaud","family":"Verdant","sequence":"additional","affiliation":[{"name":"CEA-LETI, F-38000 Grenoble, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"BinaryConnect: Training Deep Neural Networks with binary weights during propagations","author":"courbariaux","year":"0","journal-title":"NIPS 2015"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/SiPS.2017.8110021"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2910073"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CSTIC.2019.8755608"},{"key":"ref31","article-title":"Learning both Weights and Connections for Efficient Neural Networks","author":"han","year":"0","journal-title":"NIPS 2015"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2424995"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00098"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2874823"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2906563"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966160"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/IIAI-AAI.2018.00133"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2018.2839347"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ESSCIRC.2018.8494279"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-011-0019-y"},{"article-title":"OP-ELM: Optimally Pruned Extreme Learning Machine","year":"0","author":"miche","key":"ref27"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-013-9405-z"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3293883.3295710"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1017\/ATSIP.2018.6"},{"key":"ref20","article-title":"Compressively Sensed Image Recognition","author":"deerli","year":"0","journal-title":"EUVIP 2018"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2847908"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC.2017.7986442"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2019.8702325"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451445"},{"journal-title":"Neurocomputing","article-title":"Extreme learning machine: Theory and applications","year":"2006","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACPR.2017.11"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2017.2767705"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1994.6.2.181"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2019.8702128"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2017.7927222"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2019.8702698"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2911536"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682791"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737614"},{"key":"ref53","article-title":"Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference","author":"wang","year":"2019","journal-title":"arXiv 1907 04523"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2019.8702423"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2014.2346153"},{"key":"ref40","article-title":"Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations","author":"hubara","year":"2016","journal-title":"arXiv 1609 07061 [cs]"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2872984"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.71"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.914731"},{"key":"ref14","article-title":"A Review of Sparse Recovery Algorithms","author":"marques","year":"2019","journal-title":"IEEE Access"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2018.2846413"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2009.2039178"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2189859"},{"key":"ref18","article-title":"Compressed Learning: A Deep Neural Network Approach","author":"adler","year":"0","journal-title":"SPA 2016"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532691"},{"key":"ref4","article-title":"A 0.62mw ultra-low-power convolutional-neuralnetwork face-recognition processor and a CIS integrated with always-on haar-like face detector","author":"bong","year":"0","journal-title":"ISSCC 2017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"year":"0","key":"ref6","article-title":"Bringing the Power of AI to Millions of Devices"},{"key":"ref5","article-title":"An Always-On 3.8µJ\/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS","author":"bankman","year":"0","journal-title":"IEEE JSSC 2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2849324"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2019.2894360"},{"key":"ref49","article-title":"Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution","author":"liu","year":"2017","journal-title":"arXiv 1701 00299"},{"key":"ref9","article-title":"A 3.4µW Object-Adaptive CMOS Image Sensor With Embedded Feature Extraction Algorithm for Motion-Triggered Objectof-Interest Imaging","author":"choi","year":"0","journal-title":"IEEE JSSC 2014"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00363"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3291280.3291800"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/FPT.2018.00013"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2921104"},{"key":"ref42","article-title":"Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference","author":"jacob","year":"2017","journal-title":"arXiv 1712 05877"},{"key":"ref41","article-title":"BNN+: Improved Binary Network Training","author":"darabi","year":"2018","journal-title":"arXiv 1812 11800"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8060661"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682462"}],"event":{"name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","start":{"date-parts":[[2020,10,12]]},"location":"Seville, Spain","end":{"date-parts":[[2020,10,14]]}},"container-title":["2020 IEEE International Symposium on Circuits and Systems (ISCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9179985\/9180369\/09181005.pdf?arnumber=9181005","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,15]],"date-time":"2024-01-15T21:05:47Z","timestamp":1705352747000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9181005\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/iscas45731.2020.9181005","relation":{},"subject":[],"published":{"date-parts":[[2020,10]]}}}