Статті в журналах з теми "Neural Network Pruning"
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JORGENSEN, THOMAS D., BARRY P. HAYNES, and CHARLOTTE C. F. NORLUND. "PRUNING ARTIFICIAL NEURAL NETWORKS USING NEURAL COMPLEXITY MEASURES." International Journal of Neural Systems 18, no. 05 (October 2008): 389–403. http://dx.doi.org/10.1142/s012906570800166x.
Повний текст джерелаGanguli, Tushar, and Edwin K. P. Chong. "Activation-Based Pruning of Neural Networks." Algorithms 17, no. 1 (January 21, 2024): 48. http://dx.doi.org/10.3390/a17010048.
Повний текст джерелаKoene, Randal A., and Yoshio Takane. "Discriminant Component Pruning: Regularization and Interpretation of Multilayered Backpropagation Networks." Neural Computation 11, no. 3 (April 1, 1999): 783–802. http://dx.doi.org/10.1162/089976699300016665.
Повний текст джерелаLing, Xing. "Summary of Deep Neural Network Pruning Algorithms." Applied and Computational Engineering 8, no. 1 (August 1, 2023): 352–61. http://dx.doi.org/10.54254/2755-2721/8/20230182.
Повний текст джерелаGong, Ziyi, Huifu Zhang, Hao Yang, Fangjun Liu, and Fan Luo. "A Review of Neural Network Lightweighting Techniques." Innovation & Technology Advances 1, no. 2 (January 16, 2024): 1–16. http://dx.doi.org/10.61187/ita.v1i2.36.
Повний текст джерелаGuo, Changyi, and Ping Li. "Hybrid Pruning Method Based on Convolutional Neural Network Sensitivity and Statistical Threshold." Journal of Physics: Conference Series 2171, no. 1 (January 1, 2022): 012055. http://dx.doi.org/10.1088/1742-6596/2171/1/012055.
Повний текст джерелаZou, Yunhuan. "Research On Pruning Methods for Mobilenet Convolutional Neural Network." Highlights in Science, Engineering and Technology 81 (January 26, 2024): 232–36. http://dx.doi.org/10.54097/a742e326.
Повний текст джерелаLiang, Ling, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, and Yuan Xie. "Crossbar-Aware Neural Network Pruning." IEEE Access 6 (2018): 58324–37. http://dx.doi.org/10.1109/access.2018.2874823.
Повний текст джерелаTsai, Feng-Sheng, Yi-Li Shih, Chin-Tzong Pang, and Sheng-Yi Hsu. "Formulation of Pruning Maps with Rhythmic Neural Firing." Mathematics 7, no. 12 (December 17, 2019): 1247. http://dx.doi.org/10.3390/math7121247.
Повний текст джерелаWang, Miao, Xu Yang, Yunchong Qian, Yunlin Lei, Jian Cai, Ziyi Huan, Xialv Lin, and Hao Dong. "Adaptive Neural Network Structure Optimization Algorithm Based on Dynamic Nodes." Current Issues in Molecular Biology 44, no. 2 (February 7, 2022): 817–32. http://dx.doi.org/10.3390/cimb44020056.
Повний текст джерелаAo, Ren, Zhang Tao, Wang Yuhao, Lin Sheng, Dong Peiyan, Chen Yen-kuang, Xie Yuan, and Wang Yanzhi. "DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 5495–502. http://dx.doi.org/10.1609/aaai.v34i04.6000.
Повний текст джерелаLee, Donghyeon, Eunho Lee, and Youngbae Hwang. "Lossless Reconstruction of Convolutional Neural Network for Channel-Based Network Pruning." Sensors 23, no. 4 (February 13, 2023): 2102. http://dx.doi.org/10.3390/s23042102.
Повний текст джерелаPei, Songwen, Yusheng Wu, Jin Guo, and Meikang Qiu. "Neural Network Pruning by Recurrent Weights for Finance Market." ACM Transactions on Internet Technology 22, no. 3 (August 31, 2022): 1–23. http://dx.doi.org/10.1145/3433547.
Повний текст джерелаScholl, Carolin, Michael E. Rule, and Matthias H. Hennig. "The information theory of developmental pruning: Optimizing global network architectures using local synaptic rules." PLOS Computational Biology 17, no. 10 (October 11, 2021): e1009458. http://dx.doi.org/10.1371/journal.pcbi.1009458.
Повний текст джерелаWu, Tao, Jiao Shi, Deyun Zhou, Xiaolong Zheng, and Na Li. "Evolutionary Multi-Objective One-Shot Filter Pruning for Designing Lightweight Convolutional Neural Network." Sensors 21, no. 17 (September 2, 2021): 5901. http://dx.doi.org/10.3390/s21175901.
Повний текст джерелаWang, Jielei, Zongyong Cui, Zhipeng Zang, Xiangjie Meng, and Zongjie Cao. "Absorption Pruning of Deep Neural Network for Object Detection in Remote Sensing Imagery." Remote Sensing 14, no. 24 (December 9, 2022): 6245. http://dx.doi.org/10.3390/rs14246245.
Повний текст джерелаXiao, Penghao, Teng Xu, Xiayang Xiao, Weisong Li, and Haipeng Wang. "Distillation Sparsity Training Algorithm for Accelerating Convolutional Neural Networks in Embedded Systems." Remote Sensing 15, no. 10 (May 17, 2023): 2609. http://dx.doi.org/10.3390/rs15102609.
Повний текст джерелаWu, Tingting, Chunhe Song, Peng Zeng, and Changqing Xia. "Cluster-Based Structural Redundancy Identification for Neural Network Compression." Entropy 25, no. 1 (December 21, 2022): 9. http://dx.doi.org/10.3390/e25010009.
Повний текст джерелаDuckro, Donald E., Dennis W. Quinn, and Samuel J. Gardner. "Neural Network Pruning with Tukey-Kramer Multiple Comparison Procedure." Neural Computation 14, no. 5 (May 1, 2002): 1149–68. http://dx.doi.org/10.1162/089976602753633420.
Повний текст джерелаQin, Tian, Jiang Zhang, and Xihua Zhu. "Analysis of Pruning Optimization Technology Based on Deep Learning." Highlights in Science, Engineering and Technology 4 (July 26, 2022): 332–38. http://dx.doi.org/10.54097/hset.v4i.921.
Повний текст джерелаWang, Jiajun. "Research on pruning optimization techniques for neural networks." Applied and Computational Engineering 19, no. 1 (October 23, 2023): 152–58. http://dx.doi.org/10.54254/2755-2721/19/20231025.
Повний текст джерелаWang, Shuang, and Zhaogong Zhang. "ScoringNet: A Neural Network Based Pruning Criteria for Structured Pruning." Scientific Programming 2023 (April 14, 2023): 1–9. http://dx.doi.org/10.1155/2023/9983781.
Повний текст джерелаThodberg, Hans Henrik. "IMPROVING GENERALIZATION OF NEURAL NETWORKS THROUGH PRUNING." International Journal of Neural Systems 01, no. 04 (January 1991): 317–26. http://dx.doi.org/10.1142/s0129065791000352.
Повний текст джерелаLu, Sheng. "Study on pruning optimization based on HRank pruning method." Applied and Computational Engineering 6, no. 1 (June 14, 2023): 1204–11. http://dx.doi.org/10.54254/2755-2721/6/20230600.
Повний текст джерелаJeczmionek, Ernest, and Piotr A. Kowalski. "Flattening Layer Pruning in Convolutional Neural Networks." Symmetry 13, no. 7 (June 27, 2021): 1147. http://dx.doi.org/10.3390/sym13071147.
Повний текст джерелаKAMMA, Koji, Yuki ISODA, Sarimu INOUE, and Toshikazu WADA. "Neural Behavior-Based Approach for Neural Network Pruning." IEICE Transactions on Information and Systems E103.D, no. 5 (May 1, 2020): 1135–43. http://dx.doi.org/10.1587/transinf.2019edp7177.
Повний текст джерелаCheng, Hanjing, Zidong Wang, Lifeng Ma, Xiaohui Liu, and Zhihui Wei. "Multi-task Pruning via Filter Index Sharing: A Many-Objective Optimization Approach." Cognitive Computation 13, no. 4 (June 25, 2021): 1070–84. http://dx.doi.org/10.1007/s12559-021-09894-x.
Повний текст джерелаLiu, Yu, Yong Wang, Haojin Qi, and Xiaoming Ju. "SuperPruner: Automatic Neural Network Pruning via Super Network." Scientific Programming 2021 (September 13, 2021): 1–11. http://dx.doi.org/10.1155/2021/9971669.
Повний текст джерелаGou, Longxiang, Ziyi Han, and Zhimeng Yuan. "An analysis of different methods for deep neural network pruning." Applied and Computational Engineering 52, no. 1 (March 27, 2024): 81–86. http://dx.doi.org/10.54254/2755-2721/52/20241292.
Повний текст джерелаDing, Yunlong, and Di-Rong Chen. "Optimization Based Layer-Wise Pruning Threshold Method for Accelerating Convolutional Neural Networks." Mathematics 11, no. 15 (July 27, 2023): 3311. http://dx.doi.org/10.3390/math11153311.
Повний текст джерелаTessier, Hugo, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, and David Bertrand. "Rethinking Weight Decay for Efficient Neural Network Pruning." Journal of Imaging 8, no. 3 (March 4, 2022): 64. http://dx.doi.org/10.3390/jimaging8030064.
Повний текст джерелаGangopadhyay, Briti, Pallab Dasgupta, and Soumyajit Dey. "Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (June 26, 2023): 16212–13. http://dx.doi.org/10.1609/aaai.v37i13.26966.
Повний текст джерелаJakob Krzyston, Rajib Bhattacharjea, and Andrew Stark. "Neural network compression with feedback magnitude pruning for automatic modulation classification." ITU Journal on Future and Evolving Technologies 3, no. 2 (July 13, 2022): 157–64. http://dx.doi.org/10.52953/eujf4214.
Повний текст джерелаGong, Wei. "A Neural Networks Pruning and Data Fusion Based Intrusion Detection Model." Applied Mechanics and Materials 651-653 (September 2014): 1772–75. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.1772.
Повний текст джерелаLei, Yu, Dayu Wang, Shenghui Yang, Jiao Shi, Dayong Tian, and Lingtong Min. "Network Collaborative Pruning Method for Hyperspectral Image Classification Based on Evolutionary Multi-Task Optimization." Remote Sensing 15, no. 12 (June 13, 2023): 3084. http://dx.doi.org/10.3390/rs15123084.
Повний текст джерелаAi, Fang Ju. "An Improved Pruning Algorithm for Fuzzy Neural Network." Applied Mechanics and Materials 411-414 (September 2013): 2031–36. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.2031.
Повний текст джерелаCamacho, Jose David, Carlos Villaseñor, Carlos Lopez-Franco, and Nancy Arana-Daniel. "Neuroplasticity-Based Pruning Method for Deep Convolutional Neural Networks." Applied Sciences 12, no. 10 (May 13, 2022): 4945. http://dx.doi.org/10.3390/app12104945.
Повний текст джерелаGe, Yisu, Shufang Lu, and Fei Gao. "Small Network for Lightweight Task in Computer Vision: A Pruning Method Based on Feature Representation." Computational Intelligence and Neuroscience 2021 (April 17, 2021): 1–12. http://dx.doi.org/10.1155/2021/5531023.
Повний текст джерелаGrau, M. Mar Abad, and L. Daniel Hernandez Molinero. "Local Representation Neural Networks for Feature Selection." Journal of Advanced Computational Intelligence and Intelligent Informatics 3, no. 4 (August 20, 1999): 326–31. http://dx.doi.org/10.20965/jaciii.1999.p0326.
Повний текст джерелаZhang, Chaoyan, Cheng Li, Baolong Guo, and Nannan Liao. "Neural Network Compression via Low Frequency Preference." Remote Sensing 15, no. 12 (June 16, 2023): 3144. http://dx.doi.org/10.3390/rs15123144.
Повний текст джерелаBondarenko, Andrey, Arkady Borisov, and Ludmila Alekseeva. "Neurons vs Weights Pruning in Artificial Neural Networks." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 3 (June 16, 2015): 22. http://dx.doi.org/10.17770/etr2015vol3.166.
Повний текст джерелаGuo, Wenzhe, Hasan Erdem Yantır, Mohammed E. Fouda, Ahmed M. Eltawil, and Khaled Nabil Salama. "Towards Efficient Neuromorphic Hardware: Unsupervised Adaptive Neuron Pruning." Electronics 9, no. 7 (June 27, 2020): 1059. http://dx.doi.org/10.3390/electronics9071059.
Повний текст джерелаAlshahrani, Mona, Othman Soufan, Arturo Magana-Mora, and Vladimir B. Bajic. "DANNP: an efficient artificial neural network pruning tool." PeerJ Computer Science 3 (November 6, 2017): e137. http://dx.doi.org/10.7717/peerj-cs.137.
Повний текст джерелаNaeem, Saad, Noreen Jamil, Habib Ullah Khan, and Shah Nazir. "Complexity of Deep Convolutional Neural Networks in Mobile Computing." Complexity 2020 (September 17, 2020): 1–8. http://dx.doi.org/10.1155/2020/3853780.
Повний текст джерелаJEARANAITANAKIJ, KIETIKUL, and OUEN PINNGERN. "SPARTAN SIMPLICITY: A PRUNING ALGORITHM FOR NEURAL NETS." Journal of Circuits, Systems and Computers 17, no. 04 (August 2008): 569–96. http://dx.doi.org/10.1142/s0218126608004514.
Повний текст джерелаHuang, Junhao, Weize Sun, and Lei Huang. "Joint Structure and Parameter Optimization of Multiobjective Sparse Neural Network." Neural Computation 33, no. 4 (2021): 1113–43. http://dx.doi.org/10.1162/neco_a_01368.
Повний текст джерелаМельниченко, А. В., and К. А. Здор. "INCORPORATING ATTENTION SCORE TO IMPROVE FORESIGHT PRUNING ON TRANSFORMER MODELS." Visnyk of Zaporizhzhya National University Physical and Mathematical Sciences, no. 2 (December 19, 2023): 22–28. http://dx.doi.org/10.26661/2786-6254-2023-2-03.
Повний текст джерелаAmeen, Salem, and Sunil Vadera. "Pruning Neural Networks Using Multi-Armed Bandits." Computer Journal 63, no. 7 (September 26, 2019): 1099–108. http://dx.doi.org/10.1093/comjnl/bxz078.
Повний текст джерелаCai, Mingzhuo, Yihong Su, Binyu Wang, and Tianyu Zhang. "Research on compression pruning methods based on deep learning." Journal of Physics: Conference Series 2580, no. 1 (September 1, 2023): 012060. http://dx.doi.org/10.1088/1742-6596/2580/1/012060.
Повний текст джерелаZhong, Xudong. "Convolutional Neural Network Structure Optimization based on Network Pruning." Highlights in Science, Engineering and Technology 24 (December 27, 2022): 125–30. http://dx.doi.org/10.54097/hset.v24i.3904.
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