この検索内の頻出タグ: networks^:10 neural^:6 deep^:2 recurrent^:2 accelerator^:1 adapting^:1 analog^:1 applications^:1 automatons^:1 cascsde^:1 comparison^:1 contain^:1 convolutional^:1 crossbar-based^:1 data^:1 digital^:1 distilling^:1 dynamics^:1 embedded^:1 event^:1 exploration^:1 explorations^:1 fpga-based^:1 hidden-fold^:1 iot^:1 knowledge^:1 lottery^:1 mac^:1 meets^:1 memristor^:1

10 件の該当がありました． : このページのURL : HTML

論文誌: [1] Q. Cheng, M. Huang, C. Man, A. Shen, L. Dai, H. Yu, and M. Hashimoto, "Reliability Exploration of System-On-Chip with Multi-Bit-Width Accelerator for Multi-Precision Deep Neural Networks," IEEE Transactions on Circuits and Systems I: Regular Papers, volume 70, number 10, 3978 -- 3991, October 2023. [pdf]; [2] A. Lopez, Y. Okoshi, M. Hashimoto, M. Motomura, and J. Yu, "Recurrent Residual Networks Contain Stronger Lottery Tickets," IEEE Access, volume 11, 16588 - 16604, February 2023. [pdf]
国際会議: [1] C. Kawano and M. Hashimoto, "Performance Comparison of Memristor Crossbar-Based Analog and Fpga-Based Digital Weight-Memory-Less Neural Networks," Proceedings of IEEE International Conference on Rebooting Computing (ICRC), December 2023. [pdf]; [2] A. Lopez, M. Hashimoto, M. Motomura, and J. Yu, "Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks," Proceedings of British Machine Vision Conference (BMVC), November 2021. [pdf]; [3] Z. Yan, Y. Shi, W. Liao, M. Hashimoto, X. Zhou, and C. Zhuo, "When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies," Proceedings of Asia and South Pacific Design Automation Conference (ASP-DAC), January 2020. [pdf]; [4] T. Tanio, J. Yu, and M. Hashimoto, "Training Data Reduction Using Support Vectors for Neural Networks," Proceedings of Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference (ASC), November 2019. [pdf]; [5] S. Fukui, J. Yu, and M. Hashimoto, "Distilling Knowledge for Non-Neural Networks," Proceedings of Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference (ASC), November 2019. [pdf]; [6] K. Itoh, J. Yu, and M. Hashimoto, "Adapting Soft Cascade to Mac Operations of Convolutional Neural Networks," Proceedings of International Symposium on Multimedia and Communication Technology (ISMAC), August 2018.
著書: [1] Hideyuki Suzuki, Jun Tanida, and Masanori Hashimoto, Photonic Neural Networks with Spatiotemporal Dynamics, Springer Singapore,, 2023.; [2] H. Hihara, A. Iwasaki, M. Hashimoto, H. Ochi, Y. Mitsuyama, H. Onodera, H. Kanbara, K. Wakabayashi, T. Sugibayashi, T. Takenaka, H. Hada, and M. Tada, "Applications of Reconfigurable Processors as Embedded Automatons in the IoT Sensor Networks in Space," Book chapter, VLSI Design and Test for Systems Dependability, Springer, August 2018.