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ORCIDViktoria Chekalina
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2020 – today
- 2024
[c9]Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan V. Oseledets:
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers. EMNLP 2024: 14929-14939- [i5]Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Alexander Mikhalev, Alexander Panchenko, Ivan V. Oseledets:
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers. CoRR abs/2410.07383 (2024) - 2023
- [c8]Sergey Pletenev, Daniil Moskovskiy, Viktoria Chekalina, Mikhail Seleznyov, Sergey Zagoruyko, Alexander Panchenko:
Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information. AIST 2023: 36-48 - [c7]Viktoria Chekalina, Georgiy Novikov, Julia Gusak, Alexander Panchenko, Ivan V. Oseledets:
Efficient GPT Model Pre-training using Tensor Train Matrix Representation. PACLIC 2023: 600-608 - [c6]Sergey Pletenev, Viktoria Chekalina, Daniil Moskovskiy, Mikhail Seleznev, Sergey Zagoruyko, Alexander Panchenko:
A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers. PACLIC 2023: 723-742 - [i4]Viktoria Chekalina, Alexander Panchenko:
Retrieving Comparative Arguments using Ensemble Methods and Neural Information Retrieval. CoRR abs/2305.01513 (2023) - [i3]Viktoria Chekalina, Georgii S. Novikov, Julia Gusak, Ivan V. Oseledets, Alexander Panchenko:
Efficient GPT Model Pre-training using Tensor Train Matrix Representation. CoRR abs/2306.02697 (2023) - 2022
- [c5]Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Evgeny Frolov, Alexander Panchenko:
MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering. ACL (student) 2022: 355-365 - [c4]Viktoria Chekalina, Alexander Panchenko:
Retrieving Comparative Arguments using Deep Language Models. CLEF (Working Notes) 2022: 3032-3040 - [i2]Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Alexander Panchenko:
MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering. CoRR abs/2204.10629 (2022) - 2021
- [c3]Viktoria Chekalina, Alexander Panchenko:
Retrieving Comparative Arguments using Ensemble Methods and BERT. CLEF (Working Notes) 2021: 2354-2365 - [c2]Viktoria Chekalina, Alexander Bondarenko, Chris Biemann, Meriem Beloucif, Varvara Logacheva, Alexander Panchenko:
Which is Better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language. EACL (System Demonstrations) 2021: 302-311 - 2020
- [c1]Viktoria Chekalina, Alexander Panchenko:
Retrieving Comparative Arguments using Deep Pre-trained Language Models and NLU. CLEF (Working Notes) 2020
2010 – 2019
- 2018
- [i1]Viktoria Chekalina, Elena Orlova, Fedor Ratnikov, Dmitry Ulyanov, Andrey Ustyuzhanin, Egor Zakharov:
Generative Models for Fast Calorimeter Simulation.LHCb case. CoRR abs/1812.01319 (2018)
Coauthor Index
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