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ORCIDNikolay Mikhaylovskiy
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2020 – today
- 2024
[c7]Tatiana Y. Sherstinova, Nikolay Mikhaylovskiy, Evgenia Kolpashchikova, Violetta Kruglikova:
Bridging Gaps in Russian Language Processing: AI and Everyday Conversations. FRUCT 2024: 665-674- 2023
- [c6]Nikolay Mikhaylovskiy:
Long Story Generation Challenge. INLG (Generation Challenges) 2023: 10-16 - [c5]Eugene Borisov, Nikolay Mikhaylovskiy:
Team NTR @ AutoMin 2023: Dolly LLM Improves Minuting Performance, Semantic Segmentation Doesn't. INLG (Generation Challenges) 2023: 132-137 - [c4]Tatiana Y. Sherstinova
, Rostislav Kolobov, Nikolay Mikhaylovskiy:
Everyday Conversations: A Comparative Study of Expert Transcriptions and ASR Outputs at a Lexical Level. SPECOM (1) 2023: 43-56 - [i8]Nikolay Mikhaylovskiy, Ilya Churilov:
Autocorrelations Decay in Texts and Applicability Limits of Language Models. CoRR abs/2305.06615 (2023) - [i7]Nikolay Mikhaylovskiy:
Long Text Generation Challenge. CoRR abs/2306.02334 (2023) - 2022
- [i6]Eduard Zubchuk, Dmitry Menshikov, Nikolay Mikhaylovskiy:
Using a Language Model in a Kiosk Recommender System at Fast-Food Restaurants. CoRR abs/2202.04145 (2022) - [i5]Nikolay Mikhaylovskiy:
On Unsupervised Training of Link Grammar Based Language Models. CoRR abs/2208.13021 (2022) - 2021
- [c3]Ivan Danilovich, Vyacheslav Moshkin, Alexander Reimche, Mikhail Tevelevich, Nikolay Mikhaylovskiy:
Video monitoring over anti-decubitus protocol execution with a deep neural network to prevent pressure ulcer. EMBC 2021: 1384-1387 - [c2]Roman Vygon, Nikolay Mikhaylovskiy:
Learning Efficient Representations for Keyword Spotting with Triplet Loss. SPECOM 2021: 773-785 - [i4]Roman Vygon, Nikolay Mikhaylovskiy:
Learning Efficient Representations for Keyword Spotting with Triplet Loss. CoRR abs/2101.04792 (2021) - [i3]Rostislav Kolobov, Olga Okhapkina, Olga Omelchishina, Andrey Platunov, Roman Bedyakin, Vyacheslav Moshkin, Dmitry Menshikov, Nikolay Mikhaylovskiy:
MediaSpeech: Multilanguage ASR Benchmark and Dataset. CoRR abs/2103.16193 (2021) - [i2]Roman Bedyakin, Nikolay Mikhaylovskiy:
Language ID Prediction from Speech Using Self-Attentive Pooling and 1D-Convolutions. CoRR abs/2104.11985 (2021) - [i1]Roman Bedyakin, Nikolay Mikhaylovskiy:
Low-Resource Spoken Language Identification Using Self-Attentive Pooling and Deep 1D Time-Channel Separable Convolutions. CoRR abs/2106.00052 (2021) - 2020
- [c1]Nikolay Mikhaylovskiy:
How Do You Test the Strength of AI? AGI 2020: 257-266
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