Zobrazeno 1 - 10
of 1 924
pro vyhledávání: '"Saito, Atsushi"'
Autor:
Peng, Bo, Goldstein, Daniel, Anthony, Quentin, Albalak, Alon, Alcaide, Eric, Biderman, Stella, Cheah, Eugene, Du, Xingjian, Ferdinan, Teddy, Hou, Haowen, Kazienko, Przemysław, GV, Kranthi Kiran, Kocoń, Jan, Koptyra, Bartłomiej, Krishna, Satyapriya, McClelland Jr., Ronald, Muennighoff, Niklas, Obeid, Fares, Saito, Atsushi, Song, Guangyu, Tu, Haoqin, Woźniak, Stanisław, Zhang, Ruichong, Zhao, Bingchen, Zhao, Qihang, Zhou, Peng, Zhu, Jian, Zhu, Rui-Jie
We present Eagle (RWKV-5) and Finch (RWKV-6), sequence models improving upon the RWKV (RWKV-4) architecture. Our architectural design advancements include multi-headed matrix-valued states and a dynamic recurrence mechanism that improve expressivity
Externí odkaz:
http://arxiv.org/abs/2404.05892
Autor:
Peng, Bo, Alcaide, Eric, Anthony, Quentin, Albalak, Alon, Arcadinho, Samuel, Biderman, Stella, Cao, Huanqi, Cheng, Xin, Chung, Michael, Grella, Matteo, GV, Kranthi Kiran, He, Xuzheng, Hou, Haowen, Lin, Jiaju, Kazienko, Przemyslaw, Kocon, Jan, Kong, Jiaming, Koptyra, Bartlomiej, Lau, Hayden, Mantri, Krishna Sri Ipsit, Mom, Ferdinand, Saito, Atsushi, Song, Guangyu, Tang, Xiangru, Wang, Bolun, Wind, Johan S., Wozniak, Stanislaw, Zhang, Ruichong, Zhang, Zhenyuan, Zhao, Qihang, Zhou, Peng, Zhou, Qinghua, Zhu, Jian, Zhu, Rui-Jie
Transformers have revolutionized almost all natural language processing (NLP) tasks but suffer from memory and computational complexity that scales quadratically with sequence length. In contrast, recurrent neural networks (RNNs) exhibit linear scali
Externí odkaz:
http://arxiv.org/abs/2305.13048
Publikováno v:
Science and Engineering of Composite Materials, Vol 8, Iss 2, Pp 69-82 (1999)
Externí odkaz:
https://doaj.org/article/8f60a60d9f5844b79394cdcaef1274d4
Autor:
Saito, Atsushi, Takahashi, Hiromasa
Publikováno v:
Science and Engineering of Composite Materials, Vol 6, Iss 2, Pp 95-110 (1997)
Externí odkaz:
https://doaj.org/article/51a2d1a698f3435990901fe8587919f5
Autor:
Kinoshita, Shohei, Ohkuma, Hiroki, Fujiwara, Nozomi, Katayama, Kosuke, Naraoka, Masato, Shimamura, Norihito, Tabata, Hidefumi, Takemura, Atsuhito, Hasegawa, Seiko, Saito, Atsushi
Publikováno v:
In Clinical Neurology and Neurosurgery August 2024 243
Autor:
Sue, Nancy, Thai, Le May, Saito, Atsushi, Boyer, Cierra K., Fordham, Ashleigh M., Yan, Chenxu, Davenport, Aimee, Tao, Jiang, Bensellam, Mohammed, Cantley, James, Shi, Yan-Chuan, Stephens, Samuel B., Imaizumi, Kazunori, Biden, Trevor J.
Publikováno v:
In Molecular Metabolism January 2024 79
Autor:
Saito, Atsushi, Murata, Haruka, Niitani, Kazuhei, Nagasaki, Junpei, Otoda, Atsuki, Chujo, Yusuke, Yanagida, Junko, Nishitani, Naoya, Deyama, Satoshi, Kaneda, Katsuyuki
Publikováno v:
In Neuropharmacology 1 January 2024 242
Akademický článek
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Differently from animals, robots can record its experience correctly for long time. We propose a novel algorithm that runs a particle filter on the time sequence of the experience. It can be applied to some teach-and-replay tasks. In a task, the trai
Externí odkaz:
http://arxiv.org/abs/1904.08761
Autor:
Mitsutake, Seigo, Ishizaki, Tatsuro, Edahiro, Ayako, Kitamura, Akihiko, Hirata, Takumi, Saito, Atsushi
Publikováno v:
In Archives of Gerontology and Geriatrics April 2023 107