{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:00:26Z","timestamp":1750309226883,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T00:00:00Z","timestamp":1702512000000},"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":[[2023,12,14]]},"DOI":"10.1145\/3659154.3659162","type":"proceedings-article","created":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T12:17:39Z","timestamp":1735215459000},"page":"36-41","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["An Improved Search Economics with Knowledge Distillation for Model Compression and Acceleration"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-0769-4574","authenticated-orcid":false,"given":"Yun-Yun","family":"Li","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4867-3835","authenticated-orcid":false,"given":"Cheng-Han","family":"Hsieh","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0128-4052","authenticated-orcid":false,"given":"Chun-Wei","family":"Tsai","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,12,26]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"O.\u00a0Abdel-Hamid L.\u00a0Deng and D.\u00a0Yu \u201cExploring convolutional neural network structures and optimization techniques for speech recognition \u201d in Proceedings of Interspeech 2013 pp. 3366\u20133370.","DOI":"10.21437\/Interspeech.2013-744"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"crossref","unstructured":"S.\u00a0Anwar K.\u00a0Hwang and W.\u00a0Sung \u201cStructured pruning of deep convolutional neural networks \u201d ACM Journal on Emerging Technologies in Computing Systems vol.\u00a013 no.\u00a03 pp. 1\u201318 2017.","DOI":"10.1145\/3005348"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"Y.\u00a0P. Chen and C.\u00a0W. Tsai \u201cAn effective neural architecture optimization algorithm for cnn based on search economics \u201d in Proceedings of the ACM International Conference on Intelligent Computing and Its Emerging Applications 2021 pp. 40\u201345.","DOI":"10.1145\/3491396.3506505"},{"key":"e_1_3_3_1_5_2","unstructured":"Y.\u00a0Cheng D.\u00a0Wang P.\u00a0Zhou and T.\u00a0Zhang \u201cA survey of model compression and acceleration for deep neural networks \u201d arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1710.09282 pp. 1\u201310 2017."},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"K.\u00a0Deb A.\u00a0Pratap S.\u00a0Agarwal and T.\u00a0Meyarivan \u201cA fast and elitist multiobjective genetic algorithm: Nsga-ii \u201d IEEE Transactions on Evolutionary Computation vol.\u00a06 no.\u00a02 pp. 182\u2013197 2002.","DOI":"10.1109\/4235.996017"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"K.\u00a0Deb \u201cMulti-objective optimisation using evolutionary algorithms: An introduction \u201d in Proceedings of Multi-Objective Evolutionary Optimisation for Product Design and Manufacturing.\u00a0\u00a0\u00a0London: Springer 2011 pp. 3\u201334.","DOI":"10.1007\/978-0-85729-652-8_1"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"crossref","unstructured":"J.\u00a0Deng W.\u00a0Dong R.\u00a0Socher L.-J. Li K.\u00a0Li and L.\u00a0Fei-Fei \u201cImagenet: A large-scale hierarchical image database \u201d in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition 2009 pp. 248\u2013255.","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_3_1_9_2","unstructured":"G.\u00a0Hinton O.\u00a0Vinyals and J.\u00a0Dean \u201cDistilling the knowledge in a neural network \u201d arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1503.02531 vol.\u00a01 no.\u00a01 pp. 1\u20139 2015."},{"key":"e_1_3_3_1_10_2","unstructured":"A.\u00a0Jafari M.\u00a0Rezagholizadeh P.\u00a0Sharma and A.\u00a0Ghodsi \u201cAnnealing knowledge distillation \u201d arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2104.07163 vol.\u00a01 no.\u00a01 pp. 1\u201312 2021."},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"crossref","unstructured":"S.\u00a0Khan H.\u00a0Rahmani S.\u00a0A.\u00a0A. Shah M.\u00a0Bennamoun G.\u00a0Medioni and S.\u00a0Dickinson A guide to convolutional neural networks for computer vision.\u00a0\u00a0\u00a0Springer 2018 vol.\u00a08 no.\u00a01.","DOI":"10.2200\/S00822ED1V01Y201712COV015"},{"key":"e_1_3_3_1_12_2","unstructured":"A.\u00a0Krizhevsky and G.\u00a0Hinton \u201cLearning multiple layers of features from tiny images \u201d University of Toronto vol.\u00a01 no.\u00a01 pp. 32\u201333 2009."},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"crossref","unstructured":"Y.\u00a0Le\u00a0Cun Y.\u00a0Bengio and G.\u00a0Hinton \u201cDeep learning \u201d Nature vol. 521 no. 7553 pp. 436\u2013444 2015.","DOI":"10.1038\/nature14539"},{"key":"e_1_3_3_1_14_2","unstructured":"N.\u00a0Lee T.\u00a0Ajanthan and P.\u00a0Torr \u201cSNIP: Single-shot network pruning based on connection sensitivity \u201d in Proceedings of the International Conference on Learning Representations 2019 pp. 1\u201315."},{"key":"e_1_3_3_1_15_2","unstructured":"Z.\u00a0Liu M.\u00a0Sun T.\u00a0Zhou G.\u00a0Huang and T.\u00a0Darrell \u201cRethinking the value of network pruning \u201d in Proceedings of International Conference on Learning Representations 2019."},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"C.\u00a0Qian Y.\u00a0Yu and Z.-H. Zhou \u201cPareto ensemble pruning \u201d in Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence 2015 pp. 2935\u20132941.","DOI":"10.1609\/aaai.v29i1.9579"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"O.\u00a0Russakovsky J.\u00a0Deng H.\u00a0Su J.\u00a0Krause S.\u00a0Satheesh S.\u00a0Ma Z.\u00a0Huang A.\u00a0Karpathy A.\u00a0Khosla M.\u00a0Bernstein et\u00a0al. \u201cImagenet large scale visual recognition challenge \u201d International Journal of Computer Vision vol. 115 no.\u00a01 pp. 211\u2013252 2015.","DOI":"10.1007\/s11263-015-0816-y"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"C.\u00a0W. Tsai \u201cSearch economics: A solution space and computing resource aware search method \u201d in Proceedings of the IEEE International Conference on Systems Man and Cybernetics 2015 pp. 2555\u20132560.","DOI":"10.1109\/SMC.2015.447"},{"key":"e_1_3_3_1_19_2","unstructured":"C.\u00a0Wang G.\u00a0Zhang and R.\u00a0Grosse \u201cPicking winning tickets before training by preserving gradient flow \u201d in Proceedings of International Conference on Learning Representations 2020."},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"crossref","unstructured":"T.\u00a0Wu X.\u00a0Li D.\u00a0Zhou N.\u00a0Li and J.\u00a0Shi \u201cDifferential evolution based layer-wise weight pruning for compressing deep neural networks \u201d Sensors vol.\u00a021 no.\u00a03 p. 880 2021.","DOI":"10.3390\/s21030880"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"crossref","unstructured":"T.\u00a0Wu J.\u00a0Shi D.\u00a0Zhou Y.\u00a0Lei and M.\u00a0Gong \u201cA multi-objective particle swarm optimization for neural networks pruning \u201d in Proceedings of IEEE Congress on Evolutionary Computation 2019 pp. 570\u2013577.","DOI":"10.1109\/CEC.2019.8790145"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"crossref","unstructured":"K.\u00a0Zhang G.\u00a0G. Yen and Z.\u00a0He \u201cEvolutionary algorithm for knee-based multiple criteria decision making \u201d IEEE Transactions on Cybernetics vol.\u00a051 no.\u00a02 pp. 722\u2013735 2019.","DOI":"10.1109\/TCYB.2019.2955573"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"crossref","unstructured":"Y.\u00a0Zhou G.\u00a0G. Yen and Z.\u00a0Yi \u201cA knee-guided evolutionary algorithm for compressing deep neural networks \u201d IEEE Transactions on Cybernetics vol.\u00a051 no. 3-22 pp. 1626\u20131638 2019.","DOI":"10.1109\/TCYB.2019.2928174"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"crossref","unstructured":"\u2014\u2014 \u201cEvolutionary shallowing deep neural networks at block levels \u201d IEEE Transactions on Neural Networks and Learning Systems vol.\u00a033 no.\u00a09 pp. 4635\u20134647 2022.","DOI":"10.1109\/TNNLS.2021.3059529"}],"event":{"name":"ICEA 2023: The 2023 International Conference on Intelligent Computing and Its Emerging Applications","acronym":"ICEA 2023","location":"Kaohsiung Taiwan"},"container-title":["Proceedings of the 2023 International Conference on Intelligent Computing and Its Emerging Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3659154.3659162","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3659154.3659162","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T23:44:14Z","timestamp":1750290254000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3659154.3659162"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,14]]},"references-count":23,"alternative-id":["10.1145\/3659154.3659162","10.1145\/3659154"],"URL":"https:\/\/doi.org\/10.1145\/3659154.3659162","relation":{},"subject":[],"published":{"date-parts":[[2023,12,14]]},"assertion":[{"value":"2024-12-26","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}