0562588 - ÚI 2024 RIV SG eng C - Konferenční příspěvek (zahraniční konf.)
Cabessa, Jérémie - Hernault, H. - Lamonato, Y. - Rochat, M. - Levy, Y. Z.The EsnTorch Library: Effcient Implementation of Transformer-Based Echo State Networks.
Neural Information Processing. 29th International Conference, ICONIP 2022, Proceedings, Part VII. Singapore: Springer, 2023 - (Tanveer, M.; Agarwal, A.; Ozawa, S.; Ekbal, A.; Jatowt, A.), s. 235-246. Communications in Computer and Information Science, 1794. ISBN 978-981991647-4. ISSN 1865-0929.
[ICONIP 2022: The International Conference on Neural Information Processing /29./. Indore / Virtual (IN), 22.11.2022-26.11.2022]
Grant CEP: GA ČR(CZ) GA22-02067S
Institucionální podpora: RVO:67985807
Klíčová slova: reservoir computing * echo state networks * natural language processing (NLP) * text classification * transformers * BERT * python library * Hugging Face
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.1007/978-981-99-1648-1_20
Trvalý link: https://hdl.handle.net/11104/0334891
