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Ivan Bondarenko
Ivan Bondarenko
Researcher, Laboratory of Applied Digital Technologies, Novosibirsk State University
Подтвержден адрес электронной почты в домене g.nsu.ru - Главная страница
Название
Процитировано
Процитировано
Год
Text Augmentation for Neural Networks.
A Mosolova, V Fomin, I Bondarenko
AIST (Supplement) 2268, 104-109, 2018
262018
Conditional random fields for metaphor detection
A Mosolova, I Bondarenko, V Fomin
Proceedings of the workshop on figurative language processing, 121-123, 2018
172018
Python interface to the webrtc voice activity detector
J Wiseman, IY Bondarenko
Python interface to the WebRTC voice activity detector, 2016
122016
Algorithms for automatic accentuation and transcription of russian texts in speech recognition systems
O Yakovenko, I Bondarenko, M Borovikova, D Vodolazsky
Speech and Computer: 20th International Conference, SPECOM 2018, Leipzig …, 2018
102018
Using few-shot learning techniques for named entity recognition and relation extraction
I Bondarenko, S Berezin, A Pauls, T Batura, Y Rubtsova, B Tuchinov
2020 Science and Artificial Intelligence conference (SAI ence), 58-65, 2020
42020
Algorithms for accentuation and phonemic transcription of Russian texts in speech recognition systems
OS Yakovenko, IY Bondarenko, MN Borovikova, DI Vodolazsky
Komp'juternaja Lingvistika i Intellektual'nye Tehnologii 2018 (17), 762-774, 2018
32018
Contrastive fine-tuning to improve generalization in deep NER
I Bondarenko
Komp'juternaja Lingvistika i Intellektual'nye Tehnologii 21, 70-80, 2022
22022
More layers! End-to-end regression and uncertainty on tabular data with deep learning
I Bondarenko
arXiv preprint arXiv:2112.03566, 2021
22021
A study of machine learning algorithms applied to GIS queries spelling correction
VV Fomin, IY Bondarenko
Komp'juternaja Lingvistika i Intellektual'nye Tehnologii, 185-199, 2018
22018
Safe pre-training of deep language models in a synthetic pseudo-language
TE Gorbacheva, I Bondarenko
Doklady Rossijskoj akademii nauk. Matematika, informatika, processy …, 2023
2023
Wav2Vec2 without Attention: do you need Hopfield Networks for Self-Supervised Learning of Speech Representations?
DV Grebenkin, IY Bondarenko
Записки научных семинаров ПОМИ 529 (0), 43-53, 2023
2023
XLSR Wav2Vec2 Russian with 2-gram Language Model by Ivan Bondarenko
I Bondarenko
Hugging Face Hub, 2022
2022
XLSR Wav2Vec2 Russian by Ivan Bondarenko
I Bondarenko
Hugging Face Hub, 2022
2022
Zero-shot learning approach to the problem of short text classification
N Nikolaev, I Bondarenko, T Batura
2021
Researching zero-shot learning methods for automatic speech recognition
AY Mikhaylenko, IY Bondarenko
Марчуковские научные чтения 1, 179, 2021
2021
Convolutional Variational Autoencoders for Spectrogram Compression in Automatic Speech Recognition
O Yakovenko, I Bondarenko
Recent Trends in Analysis of Images, Social Networks and Texts: 9th …, 2021
2021
Zero-Shot Learning for Short Text Classification
N Nikolaev, I Bondarenko, T Batura
NSU, 2020
2020
Convolutional Variational Autoencoders for Audio Feature Representation in Speech Recognition Systems
O Yakovenko, I Bondarenko
Theory and Practice of Natural Computing: 9th International Conference, TPNC …, 2020
2020
Neural network algorithm for detection tonal, noise and pauses parts of continuous speech
IY Bondarenko, OM Ladoshko
Electronics and Communications 17 (6), 19-25, 2013
2013
Нейросетевой алгоритм выделения тональных, шумовых и паузных участков устной речи
ИЮ Бондаренко, ОН Ладошко, ІЮ Бондаренко, ОМ Ладошко
НТУУ" КПИ", 2012
2012
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