Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zhelnin, Maxim"'
Autor:
Zhelnin, Maxim, Moskvoretskii, Viktor, Shvetsov, Egor, Venediktov, Egor, Krylova, Mariya, Zuev, Aleksandr, Burnaev, Evgeny
Parameter Efficient Fine-Tuning (PEFT) methods have gained popularity and democratized the usage of Large Language Models (LLMs). Recent studies have shown that a small subset of weights significantly impacts performance. Based on this observation, w
Externí odkaz:
http://arxiv.org/abs/2408.15300
Autor:
Moskvoretskii, Viktor, Osin, Dmitry, Shvetsov, Egor, Udovichenko, Igor, Zhelnin, Maxim, Dukhovny, Andrey, Zhimerikina, Anna, Burnaev, Evgeny
This study explores the application of self-supervised learning techniques for event sequences. It is a key modality in various applications such as banking, e-commerce, and healthcare. However, there is limited research on self-supervised learning f
Externí odkaz:
http://arxiv.org/abs/2401.15935
Autor:
Iziumova, Anastasia, Zhelnin, Maxim, Kostina, Anastasia, Vshivkov, Aleksei, Gachegova, Elena, Plekhov, Oleg
Publikováno v:
In Science Talks March 2024 9
Autor:
Kostina, Anastasiia1 kostina@icmm.ru, Zhelnin, Maxim1 zhelnin.m@icmm.ru, Plekhov, Oleg1 poa@icmm.ru
Publikováno v:
Fracture & Structural Integrity / Frattura ed Integrità Strutturale. 2019, Issue 49, p302-313. 12p.
Publikováno v:
Fluids; Oct2022, Vol. 7 Issue 10, p317-N.PAG, 18p
Autor:
Iziumova, Anastasia, Zhelnin, Maxim, Kostina, Anastasia, Vshivkov, Aleksei, Gachegova, Elena, Plekhov, Oleg
Publikováno v:
Science Talks; 20230101, Issue: Preprints