Articoli di riviste sul tema "Sparse deep neural networks"
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Scardapane, Simone, Danilo Comminiello, Amir Hussain e Aurelio Uncini. "Group sparse regularization for deep neural networks". Neurocomputing 241 (giugno 2017): 81–89. http://dx.doi.org/10.1016/j.neucom.2017.02.029.
Testo completoZang, Ke, Wenqi Wu e Wei Luo. "Deep Sparse Learning for Automatic Modulation Classification Using Recurrent Neural Networks". Sensors 21, n. 19 (25 settembre 2021): 6410. http://dx.doi.org/10.3390/s21196410.
Testo completoWu, Kailun, Yiwen Guo e Changshui Zhang. "Compressing Deep Neural Networks With Sparse Matrix Factorization". IEEE Transactions on Neural Networks and Learning Systems 31, n. 10 (ottobre 2020): 3828–38. http://dx.doi.org/10.1109/tnnls.2019.2946636.
Testo completoGangopadhyay, Briti, Pallab Dasgupta e Soumyajit Dey. "Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract)". Proceedings of the AAAI Conference on Artificial Intelligence 37, n. 13 (26 giugno 2023): 16212–13. http://dx.doi.org/10.1609/aaai.v37i13.26966.
Testo completoPetschenig, Horst, e Robert Legenstein. "Quantized rewiring: hardware-aware training of sparse deep neural networks". Neuromorphic Computing and Engineering 3, n. 2 (26 maggio 2023): 024006. http://dx.doi.org/10.1088/2634-4386/accd8f.
Testo completoBelay, Kaleab. "Gradient and Mangitude Based Pruning for Sparse Deep Neural Networks". Proceedings of the AAAI Conference on Artificial Intelligence 36, n. 11 (28 giugno 2022): 13126–27. http://dx.doi.org/10.1609/aaai.v36i11.21699.
Testo completoKaur, Mandeep, e Pradip Kumar Yadava. "A Review on Classification of Images with Convolutional Neural Networks". International Journal for Research in Applied Science and Engineering Technology 11, n. 7 (31 luglio 2023): 658–63. http://dx.doi.org/10.22214/ijraset.2023.54704.
Testo completoBi, Jia, e Steve R. Gunn. "Sparse Deep Neural Network Optimization for Embedded Intelligence". International Journal on Artificial Intelligence Tools 29, n. 03n04 (giugno 2020): 2060002. http://dx.doi.org/10.1142/s0218213020600027.
Testo completoGallicchio, Claudio, e Alessio Micheli. "Fast and Deep Graph Neural Networks". Proceedings of the AAAI Conference on Artificial Intelligence 34, n. 04 (3 aprile 2020): 3898–905. http://dx.doi.org/10.1609/aaai.v34i04.5803.
Testo completoTartaglione, Enzo, Andrea Bragagnolo, Attilio Fiandrotti e Marco Grangetto. "LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks". Neural Networks 146 (febbraio 2022): 230–37. http://dx.doi.org/10.1016/j.neunet.2021.11.029.
Testo completoMa, Rongrong, Jianyu Miao, Lingfeng Niu e Peng Zhang. "Transformed ℓ1 regularization for learning sparse deep neural networks". Neural Networks 119 (novembre 2019): 286–98. http://dx.doi.org/10.1016/j.neunet.2019.08.015.
Testo completoZhao, Jin, e Licheng Jiao. "Fast Sparse Deep Neural Networks: Theory and Performance Analysis". IEEE Access 7 (2019): 74040–55. http://dx.doi.org/10.1109/access.2019.2920688.
Testo completoKarim, Ahmad M., Mehmet S. Güzel, Mehmet R. Tolun, Hilal Kaya e Fatih V. Çelebi. "A New Generalized Deep Learning Framework Combining Sparse Autoencoder and Taguchi Method for Novel Data Classification and Processing". Mathematical Problems in Engineering 2018 (7 giugno 2018): 1–13. http://dx.doi.org/10.1155/2018/3145947.
Testo completoLi, Yihang. "Sparse-Aware Deep Learning Accelerator". Highlights in Science, Engineering and Technology 39 (1 aprile 2023): 305–10. http://dx.doi.org/10.54097/hset.v39i.6544.
Testo completoOhn, Ilsang, e Yongdai Kim. "Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality". Neural Computation 34, n. 2 (14 gennaio 2022): 476–517. http://dx.doi.org/10.1162/neco_a_01457.
Testo completoAvgerinos, Christos, Nicholas Vretos e Petros Daras. "Less Is More: Adaptive Trainable Gradient Dropout for Deep Neural Networks". Sensors 23, n. 3 (24 gennaio 2023): 1325. http://dx.doi.org/10.3390/s23031325.
Testo completoHao, Yutong, Yunpeng Liu, Jinmiao Zhao e Chuang Yu. "Dual-Domain Prior-Driven Deep Network for Infrared Small-Target Detection". Remote Sensing 15, n. 15 (31 luglio 2023): 3827. http://dx.doi.org/10.3390/rs15153827.
Testo completoLee, Sangkyun, e Jeonghyun Lee. "Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems". Applied Sciences 9, n. 8 (23 aprile 2019): 1669. http://dx.doi.org/10.3390/app9081669.
Testo completoMousavi, Hamid, Mohammad Loni, Mina Alibeigi e Masoud Daneshtalab. "DASS: Differentiable Architecture Search for Sparse Neural Networks". ACM Transactions on Embedded Computing Systems 22, n. 5s (9 settembre 2023): 1–21. http://dx.doi.org/10.1145/3609385.
Testo completoAo, Ren, Zhang Tao, Wang Yuhao, Lin Sheng, Dong Peiyan, Chen Yen-kuang, Xie Yuan e Wang Yanzhi. "DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks". Proceedings of the AAAI Conference on Artificial Intelligence 34, n. 04 (3 aprile 2020): 5495–502. http://dx.doi.org/10.1609/aaai.v34i04.6000.
Testo completoÖstling, Robert. "Part of Speech Tagging: Shallow or Deep Learning?" Northern European Journal of Language Technology 5 (19 giugno 2018): 1–15. http://dx.doi.org/10.3384/nejlt.2000-1533.1851.
Testo completoGong, Maoguo, Jia Liu, Hao Li, Qing Cai e Linzhi Su. "A Multiobjective Sparse Feature Learning Model for Deep Neural Networks". IEEE Transactions on Neural Networks and Learning Systems 26, n. 12 (dicembre 2015): 3263–77. http://dx.doi.org/10.1109/tnnls.2015.2469673.
Testo completoBoo, Yoonho, e Wonyong Sung. "Compression of Deep Neural Networks with Structured Sparse Ternary Coding". Journal of Signal Processing Systems 91, n. 9 (6 novembre 2018): 1009–19. http://dx.doi.org/10.1007/s11265-018-1418-z.
Testo completoZhao, Yao, Qingsong Liu, He Tian, Bingo Wing-Kuen Ling e Zhe Zhang. "DeepRED Based Sparse SAR Imaging". Remote Sensing 16, n. 2 (5 gennaio 2024): 212. http://dx.doi.org/10.3390/rs16020212.
Testo completoWan, Xinyue, Bofeng Zhang, Guobing Zou e Furong Chang. "Sparse Data Recommendation by Fusing Continuous Imputation Denoising Autoencoder and Neural Matrix Factorization". Applied Sciences 9, n. 1 (24 dicembre 2018): 54. http://dx.doi.org/10.3390/app9010054.
Testo completoEl-Yabroudi, Mohammad Z., Ikhlas Abdel-Qader, Bradley J. Bazuin, Osama Abudayyeh e Rakan C. Chabaan. "Guided Depth Completion with Instance Segmentation Fusion in Autonomous Driving Applications". Sensors 22, n. 24 (7 dicembre 2022): 9578. http://dx.doi.org/10.3390/s22249578.
Testo completoQiao, Chen, Yan Shi, Yu-Xian Diao, Vince D. Calhoun e Yu-Ping Wang. "Log-sum enhanced sparse deep neural network". Neurocomputing 407 (settembre 2020): 206–20. http://dx.doi.org/10.1016/j.neucom.2020.04.118.
Testo completoMorotti, Elena, Davide Evangelista e Elena Loli Piccolomini. "A Green Prospective for Learned Post-Processing in Sparse-View Tomographic Reconstruction". Journal of Imaging 7, n. 8 (7 agosto 2021): 139. http://dx.doi.org/10.3390/jimaging7080139.
Testo completoWan, Lulu, Tao Chen, Antonio Plaza e Haojie Cai. "Hyperspectral Unmixing Based on Spectral and Sparse Deep Convolutional Neural Networks". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 (2021): 11669–82. http://dx.doi.org/10.1109/jstars.2021.3126755.
Testo completoKhattak, Muhammad Irfan, Nasir Saleem, Jiechao Gao, Elena Verdu e Javier Parra Fuente. "Regularized sparse features for noisy speech enhancement using deep neural networks". Computers and Electrical Engineering 100 (maggio 2022): 107887. http://dx.doi.org/10.1016/j.compeleceng.2022.107887.
Testo completoXie, Zhihua, Yi Li, Jieyi Niu, Ling Shi, Zhipeng Wang e Guoyu Lu. "Hyperspectral face recognition based on sparse spectral attention deep neural networks". Optics Express 28, n. 24 (16 novembre 2020): 36286. http://dx.doi.org/10.1364/oe.404793.
Testo completoLiu, Wei, Yue Yang e Longsheng Wei. "Weather Recognition of Street Scene Based on Sparse Deep Neural Networks". Journal of Advanced Computational Intelligence and Intelligent Informatics 21, n. 3 (19 maggio 2017): 403–8. http://dx.doi.org/10.20965/jaciii.2017.p0403.
Testo completoSchwab, Johannes, Stephan Antholzer e Markus Haltmeier. "Big in Japan: Regularizing Networks for Solving Inverse Problems". Journal of Mathematical Imaging and Vision 62, n. 3 (3 ottobre 2019): 445–55. http://dx.doi.org/10.1007/s10851-019-00911-1.
Testo completo.., Vani, e Piyush Kumar Pareek. "Deep Multiple Instance Learning Approach for Classification in Clinical Decision Support Systems". American Journal of Business and Operations Research 10, n. 2 (2023): 52–60. http://dx.doi.org/10.54216/ajbor.100206.
Testo completoHe, Haoyuan, Lingxuan Huang, Zisen Huang e Tiantian Yang. "The Compression Techniques Applied on Deep Learning Model". Highlights in Science, Engineering and Technology 4 (26 luglio 2022): 325–31. http://dx.doi.org/10.54097/hset.v4i.920.
Testo completoAlmulla Khalaf, Maysa Ibrahem, e John Q. Gan. "A three-stage learning algorithm for deep multilayer perceptron with effective weight initialisation based on sparse auto-encoder". Artificial Intelligence Research 8, n. 1 (2 aprile 2019): 41. http://dx.doi.org/10.5430/air.v8n1p41.
Testo completoZahn, Olivia, Jorge Bustamante, Callin Switzer, Thomas L. Daniel e J. Nathan Kutz. "Pruning deep neural networks generates a sparse, bio-inspired nonlinear controller for insect flight". PLOS Computational Biology 18, n. 9 (27 settembre 2022): e1010512. http://dx.doi.org/10.1371/journal.pcbi.1010512.
Testo completoLiu, Xiao, Wenbin Li, Jing Huo, Lili Yao e Yang Gao. "Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio". Proceedings of the AAAI Conference on Artificial Intelligence 34, n. 04 (3 aprile 2020): 4900–4907. http://dx.doi.org/10.1609/aaai.v34i04.5927.
Testo completoYao, Zhongtian, Kejie Huang, Haibin Shen e Zhaoyan Ming. "Deep Neural Network Acceleration With Sparse Prediction Layers". IEEE Access 8 (2020): 6839–48. http://dx.doi.org/10.1109/access.2020.2963941.
Testo completoLee, Gwo-Chuan, Jyun-Hong Li e Zi-Yang Li. "A Wasserstein Generative Adversarial Network–Gradient Penalty-Based Model with Imbalanced Data Enhancement for Network Intrusion Detection". Applied Sciences 13, n. 14 (12 luglio 2023): 8132. http://dx.doi.org/10.3390/app13148132.
Testo completoPhan, Huy, Miao Yin, Yang Sui, Bo Yuan e Saman Zonouz. "CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness". Proceedings of the AAAI Conference on Artificial Intelligence 37, n. 2 (26 giugno 2023): 2065–73. http://dx.doi.org/10.1609/aaai.v37i2.25299.
Testo completoZhang, Hongwei, Jiacheng Ni, Kaiming Li, Ying Luo e Qun Zhang. "Nonsparse SAR Scene Imaging Network Based on Sparse Representation and Approximate Observations". Remote Sensing 15, n. 17 (22 agosto 2023): 4126. http://dx.doi.org/10.3390/rs15174126.
Testo completoGong, Zhenghui, Xiaolong Su, Panhe Hu, Shuowei Liu e Zhen Liu. "Deep Unfolding Sparse Bayesian Learning Network for Off-Grid DOA Estimation with Nested Array". Remote Sensing 15, n. 22 (10 novembre 2023): 5320. http://dx.doi.org/10.3390/rs15225320.
Testo completoChen, Yuanyuan, e Zhang Yi. "Adaptive sparse dropout: Learning the certainty and uncertainty in deep neural networks". Neurocomputing 450 (agosto 2021): 354–61. http://dx.doi.org/10.1016/j.neucom.2021.04.047.
Testo completoChen, Jiayu, Xiang Li, Vince D. Calhoun, Jessica A. Turner, Theo G. M. Erp, Lei Wang, Ole A. Andreassen et al. "Sparse deep neural networks on imaging genetics for schizophrenia case–control classification". Human Brain Mapping 42, n. 8 (16 marzo 2021): 2556–68. http://dx.doi.org/10.1002/hbm.25387.
Testo completoKovacs, Mate, e Victor V. Kryssanov. "Expanding the Feature Space of Deep Neural Networks for Sentiment Classification". International Journal of Machine Learning and Computing 10, n. 2 (febbraio 2020): 271–76. http://dx.doi.org/10.18178/ijmlc.2020.10.2.931.
Testo completoLui, Hugo F. S., e William R. Wolf. "Construction of reduced-order models for fluid flows using deep feedforward neural networks". Journal of Fluid Mechanics 872 (14 giugno 2019): 963–94. http://dx.doi.org/10.1017/jfm.2019.358.
Testo completoChen, Qipeng, Qiaoqiao Xiong, Haisong Huang, Saihong Tang e Zhenghong Liu. "Research on the Construction of an Efficient and Lightweight Online Detection Method for Tiny Surface Defects through Model Compression and Knowledge Distillation". Electronics 13, n. 2 (5 gennaio 2024): 253. http://dx.doi.org/10.3390/electronics13020253.
Testo completoZhao, Yao, Chengwen Ou, He Tian, Bingo Wing-Kuen Ling, Ye Tian e Zhe Zhang. "Sparse SAR Imaging Algorithm in Marine Environments Based on Memory-Augmented Deep Unfolding Network". Remote Sensing 16, n. 7 (5 aprile 2024): 1289. http://dx.doi.org/10.3390/rs16071289.
Testo completoKohjima, Masahiro. "Shuffled Deep Regression". Proceedings of the AAAI Conference on Artificial Intelligence 38, n. 12 (24 marzo 2024): 13238–45. http://dx.doi.org/10.1609/aaai.v38i12.29224.
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