A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers
Sergey Pletenev, Viktoriia Chekalina, Daniil Moskovskiy, Mikhail Seleznev, Sergey Zagoruyko, Alexander Panchenko
Correct Metadata for
- Anthology ID:
- 2023.paclic-1.73
- Volume:
- Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
- Month:
- December
- Year:
- 2023
- Address:
- Hong Kong, China
- Editors:
- Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Si Chen, Yu-Yin Hsu, Emmanuele Chersoni, Pranav A, Winnie Huiheng Zeng, Bo Peng, Yuxi Li, Junlin Li
- Venue:
- PACLIC
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 723–742
- Language:
- URL:
- https://aclanthology.org/2023.paclic-1.73/
- DOI:
- Bibkey:
- Cite (ACL):
- Sergey Pletenev, Viktoriia Chekalina, Daniil Moskovskiy, Mikhail Seleznev, Sergey Zagoruyko, and Alexander Panchenko. 2023. A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers. In Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, pages 723–742, Hong Kong, China. Association for Computational Linguistics.
- Cite (Informal):
- A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers (Pletenev et al., PACLIC 2023)
- Copy Citation:
- PDF:
- https://aclanthology.org/2023.paclic-1.73.pdf
Export citation
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author = "Pletenev, Sergey and
Chekalina, Viktoriia and
Moskovskiy, Daniil and
Seleznev, Mikhail and
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Panchenko, Alexander",
editor = "Huang, Chu-Ren and
Harada, Yasunari and
Kim, Jong-Bok and
Chen, Si and
Hsu, Yu-Yin and
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Zeng, Winnie Huiheng and
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Li, Yuxi and
Li, Junlin",
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month = dec,
year = "2023",
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%0 Conference Proceedings %T A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers %A Pletenev, Sergey %A Chekalina, Viktoriia %A Moskovskiy, Daniil %A Seleznev, Mikhail %A Zagoruyko, Sergey %A Panchenko, Alexander %Y Huang, Chu-Ren %Y Harada, Yasunari %Y Kim, Jong-Bok %Y Chen, Si %Y Hsu, Yu-Yin %Y Chersoni, Emmanuele %Y A, Pranav %Y Zeng, Winnie Huiheng %Y Peng, Bo %Y Li, Yuxi %Y Li, Junlin %S Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation %D 2023 %8 December %I Association for Computational Linguistics %C Hong Kong, China %F pletenev-etal-2023-computational %U https://aclanthology.org/2023.paclic-1.73/ %P 723-742
Markdown (Informal)
[A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers](https://aclanthology.org/2023.paclic-1.73/) (Pletenev et al., PACLIC 2023)
- A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers (Pletenev et al., PACLIC 2023)
ACL
- Sergey Pletenev, Viktoriia Chekalina, Daniil Moskovskiy, Mikhail Seleznev, Sergey Zagoruyko, and Alexander Panchenko. 2023. A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers. In Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, pages 723–742, Hong Kong, China. Association for Computational Linguistics.