The EsnTorch Library: Efficient Implementation of Transformer-Based Echo State Networks

Author:

Cabessa Jérémie,Hernault Hugo,Lamonato Yves,Rochat Mathieu,Levy Yariv Z.

Publisher

Springer Nature Singapore

Reference32 articles.

1. Cabessa, J., Hernault, H., Kim, H., Lamonato, Y., Levy, Y.Z.: Efficient text classification with echo state networks. In: International Joint Conference on Neural Networks, IJCNN 2021, pp. 1–8. IEEE (2021)

2. Cabessa, J., Lamonato, H.H.Y., Levy, Y.Z.: Combining bert and echo state networks for efficient text classification. Applied Intelligence (Submitted 2022)

3. Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Burstein, J., Doran, C., Solorio, T. (eds.) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT, Volume 1, 2019. pp. 4171–4186. ACL (2019)

4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);D Di Sarli,2019

5. Dominey, P.F., Hoen, M., Inui, T.: A neurolinguistic model of grammatical construction processing. J. Cogn. Neurosci. 18(12), 2088–2107 (2006)

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