{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:06:34Z","timestamp":1730246794935,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1109\/icip.2017.8297021","type":"proceedings-article","created":{"date-parts":[[2018,2,22]],"date-time":"2018-02-22T17:03:23Z","timestamp":1519319003000},"page":"3939-3943","source":"Crossref","is-referenced-by-count":2,"title":["Towards thinner convolutional neural networks through gradually global pruning"],"prefix":"10.1109","author":[{"given":"Zhengtao","family":"Wang","sequence":"first","affiliation":[]},{"given":"Ce","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Zhiqiang","family":"Xia","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Yipeng","family":"Liu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"year":"2016","author":"zhu","journal-title":"Trained ternary quantization","key":"ref10"},{"key":"ref11","article-title":"Deep speech 2: End-to-end speech recognition in english and mandarin","author":"amodei","year":"2015","journal-title":"Computer Science"},{"key":"ref12","article-title":"Xnor-net: Imagenet classification using binary convolutional neural networks","author":"rastegari","year":"2016","journal-title":"European Conference on Computer Vision"},{"year":"2016","author":"courbariaux","journal-title":"Binarized neural networks Training deep neural networks with weights and activations constrained to +1 or ?1","key":"ref13"},{"year":"2016","author":"li","journal-title":"Ternary Weight Networks","key":"ref14"},{"key":"ref15","first-page":"2285","article-title":"Compressing neural networks with the hashing trick","author":"chen","year":"2015","journal-title":"Computer Science"},{"key":"ref16","first-page":"598","article-title":"Optimal brain damage","author":"lecun","year":"1990","journal-title":"Advances in neural information processing systems"},{"year":"1993","author":"hassibi","journal-title":"Second order derivatives for network pruning Optimal Brain Surgeon","key":"ref17"},{"key":"ref18","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"Advances in neural information processing systems"},{"year":"2016","author":"aghasi","journal-title":"Net-trim A layer-wise convex pruning of deep neural networks","key":"ref19"},{"key":"ref4","first-page":"2148","article-title":"Predicting parameters in deep learning","author":"denil","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref3","first-page":"770","article-title":"Deep residual learning for image recognition","author":"he","year":"2015","journal-title":"Computer Vision and Pattern Recognition"},{"key":"ref6","first-page":"442","article-title":"Tensorizing neural networks","volume":"28","author":"novikov","year":"2015","journal-title":"Neural Information Processing Systems"},{"key":"ref5","first-page":"576","article-title":"Compression of deep convolutional neural networks for fast and low power mobile applications","volume":"71","author":"kim","year":"2015","journal-title":"Computer Science"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/CVPR.2015.7298809"},{"key":"ref7","first-page":"1269","article-title":"Exploiting linear structure within convolutional networks for efficient evaluation","author":"denton","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref2","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"Computer Science"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref9","article-title":"Com-pressing deep convolutional networks using vector quantization","author":"gong","year":"2014","journal-title":"Computer Science"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/ACCESS.2015.2494536"},{"key":"ref22","first-page":"20","article-title":"Evaluating pruning methods","volume":"2","author":"thimm","year":"1995","journal-title":"Proceedings of International Symposium on Artificial Neural Networks Citeseer"},{"year":"2015","author":"anwar","journal-title":"Structured pruning of deep convolutional neural networks","key":"ref21"},{"year":"2015","author":"chollet","journal-title":"Keras","key":"ref24"},{"year":"2016","author":"li","journal-title":"Pruning filters for efficient convnets","key":"ref23"}],"event":{"name":"2017 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2017,9,17]]},"location":"Beijing","end":{"date-parts":[[2017,9,20]]}},"container-title":["2017 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8267582\/8296222\/08297021.pdf?arnumber=8297021","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,4,11]],"date-time":"2018-04-11T17:13:07Z","timestamp":1523466787000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8297021\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icip.2017.8297021","relation":{},"subject":[],"published":{"date-parts":[[2017,9]]}}}