Viktoria Chekalina

15 papers A* 1C 2Misc 1Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
Acceleration of Backpropagation in Linear Layers of Transformer Models Based on Gradient Structure.
EACL (Student Research Workshop)
Dmitrii Topchii, Alexander Panchenko, Viktoria Chekalina
2024 A* conf
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers.
EMNLP
Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan V. Oseledets
2024 J jnl
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers.
CoRR
Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Alexander Mikhalev, Alexander Panchenko, Ivan V. Oseledets
2023 C conf
A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers.
PACLIC
Sergey Pletenev, Viktoria Chekalina, Daniil Moskovskiy, Mikhail Seleznev, Sergey Zagoruyko, Alexander Panchenko
2023 C conf
Efficient GPT Model Pre-training using Tensor Train Matrix Representation.
PACLIC
Viktoria Chekalina, Georgiy Novikov, Julia Gusak, Alexander Panchenko, Ivan V. Oseledets
2023 J jnl
Efficient GPT Model Pre-training using Tensor Train Matrix Representation.
CoRR
Viktoria Chekalina, Georgii S. Novikov, Julia Gusak, Ivan V. Oseledets, Alexander Panchenko
2023 J jnl
Retrieving Comparative Arguments using Ensemble Methods and Neural Information Retrieval.
CoRR
Viktoria Chekalina, Alexander Panchenko
2023 Misc conf
Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information.
AIST
Sergey Pletenev, Daniil Moskovskiy, Viktoria Chekalina, Mikhail Seleznyov, Sergey Zagoruyko, Alexander Panchenko
2022 — conf
MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering.
ACL (student)
Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Evgeny Frolov, Alexander Panchenko
2022 J jnl
MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering.
CoRR
Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Alexander Panchenko
2022 — conf
Retrieving Comparative Arguments using Deep Language Models.
CLEF (Working Notes)
Viktoria Chekalina, Alexander Panchenko
2021 — conf
Retrieving Comparative Arguments using Ensemble Methods and BERT.
CLEF (Working Notes)
Viktoria Chekalina, Alexander Panchenko
2021 — conf
Which is Better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language.
EACL (System Demonstrations)
Viktoria Chekalina, Alexander Bondarenko, Chris Biemann, Meriem Beloucif, Varvara Logacheva, Alexander Panchenko
2020 — conf
Retrieving Comparative Arguments using Deep Pre-trained Language Models and NLU.
CLEF (Working Notes)
Viktoria Chekalina, Alexander Panchenko
2018 J jnl
Generative Models for Fast Calorimeter Simulation.LHCb case.
CoRR
Viktoria Chekalina, Elena Orlova, Fedor Ratnikov, Dmitry Ulyanov, Andrey Ustyuzhanin, Egor Zakharov