{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T20:51:28Z","timestamp":1754599888619,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,6,19]],"date-time":"2020-06-19T00:00:00Z","timestamp":1592524800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,6,19]]},"DOI":"10.1145\/3409073.3409094","type":"proceedings-article","created":{"date-parts":[[2020,7,29]],"date-time":"2020-07-29T16:53:47Z","timestamp":1596041627000},"page":"56-61","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Speeding Up Deep Convolutional Neural Networks Based on Tucker-CP Decomposition"],"prefix":"10.1145","author":[{"given":"Dechun","family":"Song","sequence":"first","affiliation":[{"name":"School of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"}]},{"given":"Peiyong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"}]},{"given":"Feiteng","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Zhejiang University, Hangzhou, China"}]}],"member":"320","published-online":{"date-parts":[[2020,7,29]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"e_1_3_2_1_2_1","volume-title":"Proc of the 3rd International Conference on Learning Representations","author":"Simonyan K.","year":"2014","unstructured":"K. Simonyan , A. Zisserman . Very Deep Convolutional Networks for Large-Scale Image Recognition . Proc of the 3rd International Conference on Learning Representations , 2014 . K. Simonyan, A. Zisserman. Very Deep Convolutional Networks for Large-Scale Image Recognition. Proc of the 3rd International Conference on Learning Representations, 2014."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1137\/07070111x"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.88"},{"key":"e_1_3_2_1_5_1","volume-title":"Proc of the 5th International Conference on Learning Representation","author":"Tai C.","year":"2016","unstructured":"C. Tai , T. Xiao , Y. Zhang , X. Wang , W. E. Convolutional neural networks with low-rank regularization . Proc of the 5th International Conference on Learning Representation , 2016 . C. Tai, T. Xiao, Y. Zhang, X. Wang, W. E. Convolutional neural networks with low-rank regularization. Proc of the 5th International Conference on Learning Representation, 2016."},{"key":"e_1_3_2_1_6_1","volume-title":"Proc of the 27th International Conference on Neural Information Processing Systems","author":"Denton E.","year":"2014","unstructured":"E. Denton , W. Zaremba , J. Bruna , Y. Lecun , R. Fergus . Exploiting linear structure within convolutional networks for efficient evaluation . Proc of the 27th International Conference on Neural Information Processing Systems , Massachusetts : MIT Press, 2014 : 1269--1277. E. Denton, W. Zaremba, J. Bruna, Y. Lecun, R. Fergus. Exploiting linear structure within convolutional networks for efficient evaluation. Proc of the 27th International Conference on Neural Information Processing Systems, Massachusetts: MIT Press, 2014:1269--1277."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02310791"},{"key":"e_1_3_2_1_8_1","volume-title":"Speeding-up convolutional neural networks using fine-tuned CP-decomposition. https:\/\/arxiv.org\/pdf\/1412.653.pdf","author":"Lebedev V.","year":"2015","unstructured":"V. Lebedev , Y. Ganin , M. Rakhuba , I. Oseledets , V. Lempitsky . Speeding-up convolutional neural networks using fine-tuned CP-decomposition. https:\/\/arxiv.org\/pdf\/1412.653.pdf , 2015 . V. Lebedev, Y. Ganin, M. Rakhuba, I. Oseledets, V. Lempitsky. Speeding-up convolutional neural networks using fine-tuned CP-decomposition. https:\/\/arxiv.org\/pdf\/1412.653.pdf, 2015."},{"volume-title":"2017 IEEE International Conference on Big Data and Smart Computing","author":"Astrid M.","key":"e_1_3_2_1_9_1","unstructured":"M. Astrid , S. Lee . CP-decomposition with tensor power method for convolutional neural networks compression . 2017 IEEE International Conference on Big Data and Smart Computing , 2017: 115--118. M. Astrid, S. Lee. CP-decomposition with tensor power method for convolutional neural networks compression. 2017 IEEE International Conference on Big Data and Smart Computing, 2017: 115--118."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2015.2502579"},{"key":"e_1_3_2_1_11_1","volume-title":"Compression of deep convolutional neural networks for fast and low power mobile applications. https:\/\/arxiv.org\/pdf\/1511.06530v2.pdf","author":"Kim Y. D.","year":"2016","unstructured":"Y. D. Kim , E. Park , S. Yoo , T. Chol , L. Yang , D. Shin . Compression of deep convolutional neural networks for fast and low power mobile applications. https:\/\/arxiv.org\/pdf\/1511.06530v2.pdf , 2016 . Y. D. Kim, E. Park, S. Yoo, T. Chol, L. Yang, D. Shin. Compression of deep convolutional neural networks for fast and low power mobile applications. https:\/\/arxiv.org\/pdf\/1511.06530v2.pdf, 2016."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479898346995"},{"key":"e_1_3_2_1_13_1","volume-title":"Sharing residual units through collective tensor factorization to improve deep neural networks. Proc of the 27th international joint conference on artificial intelligence","author":"Chen Y.","year":"2018","unstructured":"Y. Chen , X. Jin , B. Kang , B. Fang , J. Feng , S. Yan . Sharing residual units through collective tensor factorization to improve deep neural networks. Proc of the 27th international joint conference on artificial intelligence . AAAI Press , 2018 : 635--641. Y. Chen, X. Jin, B. Kang, B. Fang, J. Feng, S. Yan. Sharing residual units through collective tensor factorization to improve deep neural networks. Proc of the 27th international joint conference on artificial intelligence. AAAI Press, 2018:635--641."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"issue":"3","key":"e_1_3_2_1_15_1","first-page":"340","article-title":"Survey on tensor sparsity measure. Journal of Chongqing University of posts and telecummunications","volume":"31","author":"Xie Q.","year":"2019","unstructured":"Q. Xie , Y. Zhang , D. Meng . Survey on tensor sparsity measure. Journal of Chongqing University of posts and telecummunications : Natural Science , 2019 , 31 ( 3 ): 340 -- 347 . Q. Xie, Y. Zhang, D. Meng. Survey on tensor sparsity measure. Journal of Chongqing University of posts and telecummunications: Natural Science, 2019, 31(3): 340--347.","journal-title":"Natural Science"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.5555\/2567709.2502582"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/0196-6774(90)90014-6"}],"event":{"name":"ICMLT 2020: 2020 5th International Conference on Machine Learning Technologies","acronym":"ICMLT 2020","location":"Beijing China"},"container-title":["Proceedings of the 2020 5th International Conference on Machine Learning Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3409073.3409094","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3409073.3409094","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:00Z","timestamp":1750200060000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3409073.3409094"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,19]]},"references-count":17,"alternative-id":["10.1145\/3409073.3409094","10.1145\/3409073"],"URL":"https:\/\/doi.org\/10.1145\/3409073.3409094","relation":{},"subject":[],"published":{"date-parts":[[2020,6,19]]},"assertion":[{"value":"2020-07-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}