1 code implementation • ACL 2022 • Artem Vazhentsev, Gleb Kuzmin, Artem Shelmanov, Akim Tsvigun, Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov, Alexander Panchenko, Gleb Gusev, Mikhail Burtsev, Manvel Avetisian, Leonid Zhukov
Uncertainty estimation (UE) of model predictions is a crucial step for a variety of tasks such as active learning, misclassification detection, adversarial attack detection, out-of-distribution detection, etc.
no code implementations • 19 Feb 2024 • Julien Delile, Srayanta Mukherjee, Anton Van Pamel, Leonid Zhukov
We introduce a novel information-retrieval method that leverages a knowledge graph to downsample these clusters and mitigate the information overload problem.
1 code implementation • 17 Aug 2022 • Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov
However, manual annotation of large amounts of data can be difficult in industrial settings.
no code implementations • 11 Aug 2022 • Alexey Korovin, Artem Vasilyev, Fedor Egorov, Dmitry Saykin, Evgeny Terukov, Igor Shakhray, Leonid Zhukov, Semen Budennyy
The model was also tested on the open ELPV dataset and demonstrates stable performance with accuracy 94. 6% and F1 score 91. 1%.
no code implementations • 11 Aug 2022 • Semen Budennyy, Alexey Kazakov, Elizaveta Kovtun, Leonid Zhukov
The first factor is the drug portfolio size of the company, indicating the greater susceptibility to an announcement in the case of small drug diversification.
1 code implementation • 31 Jul 2022 • Semen Budennyy, Vladimir Lazarev, Nikita Zakharenko, Alexey Korovin, Olga Plosskaya, Denis Dimitrov, Vladimir Arkhipkin, Ivan Oseledets, Ivan Barsola, Ilya Egorov, Aleksandra Kosterina, Leonid Zhukov
The size and complexity of deep neural networks continue to grow exponentially, significantly increasing energy consumption for training and inference by these models.
1 code implementation • Findings (NAACL) 2022 • Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov
Active learning (AL) is a prominent technique for reducing the annotation effort required for training machine learning models.
no code implementations • 12 Jul 2021 • Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov
The COVID-19 pandemic created a significant interest and demand for infection detection and monitoring solutions.
no code implementations • 27 Nov 2016 • Yulia Dodonova, Mikhail Belyaev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov
In this paper, we tackle a problem of predicting phenotypes from structural connectomes.
no code implementations • 7 May 2014 • Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul
Name matching is a key component of systems for entity resolution or record linkage.