Zobrazeno 1 - 10
of 391
pro vyhledávání: '"Transfomers"'
Autor:
Ruscio, Valeria, Silvestri, Fabrizio
Rotary Positional Embeddings (RoPE) enhance positional encoding in Transformer models, yet their full impact on model dynamics remains underexplored. This paper studies how RoPE introduces position-dependent rotations, causing phase shifts in token e
Externí odkaz:
http://arxiv.org/abs/2410.18067
Conference
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Publikováno v:
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).
Conference
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Publikováno v:
PeerJ Computer Science, Vol 10, p e2222 (2024)
Natural language processing (NLP) tasks can be addressed with several deep learning architectures, and many different approaches have proven to be efficient. This study aims to briefly summarize the use cases for NLP tasks along with the main archite
Externí odkaz:
https://doaj.org/article/631bdc5cfed74b27b6110dc8292d1781
Publikováno v:
IEEE Transactions on Power Electronics. Jan2003 Part 1 of 2, Vol. 18 Issue 1, p236. 12p. 3 Black and White Photographs, 7 Diagrams, 4 Charts, 15 Graphs.
Publikováno v:
2015 IEEE Eindhoven PowerTech.
Equipping one support structure with DC and AC systems in parallel can increase the transport capacity of existing transmission corridors. The constant electric field of the DC system induces a constant DC component into the AC systems in near vicini
Conference
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Autor:
Yao-Jen Chang, 張耀仁
91
For the time being, high-freqency switching technique is widely used in various applications. Therefore, the techniques of switching method of devices and designing of high-frequency transformers have become one of the main research subjects
For the time being, high-freqency switching technique is widely used in various applications. Therefore, the techniques of switching method of devices and designing of high-frequency transformers have become one of the main research subjects
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/p8f949
Publikováno v:
INTERSPEECH 2023-24th INTERSPEECH Conference
INTERSPEECH 2023-24th INTERSPEECH Conference, Aug 2023, Dublin, Ireland
INTERSPEECH 2023-24th INTERSPEECH Conference, Aug 2023, Dublin, Ireland
International audience; Self-supervised speech based models have been found to be successful in predicting brain recordings of subjects experiencing naturalistic story listening. Inspired by the recent progress on deep learning models for various spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::2595e503aec67f5da0007464b893f023
https://hal.science/hal-04131475/file/Speech_Taskonomy_cameraready.pdf
https://hal.science/hal-04131475/file/Speech_Taskonomy_cameraready.pdf