Oleksii Hrinchuk

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Machine Translation

Speech Recognition

Recurrent Neural Networks

Top Venues

Publications

Krishna C. Puvvada, Piotr Zelasko, He Huang, Oleksii Hrinchuk, Nithin Rao Koluguri, Kunal Dhawan, Somshubra Majumdar, Elena Rastorgueva, Zhehuai Chen, Vitaly Lavrukhin, Jagadeesh Balam, Boris Ginsburg
Less is More: Accurate Speech Recognition & Translation without Web-Scale Data. CoRR (2024)
Zhehuai Chen, He Huang, Oleksii Hrinchuk, Krishna C. Puvvada, Nithin Rao Koluguri, Piotr Zelasko, Jagadeesh Balam, Boris Ginsburg
BESTOW: Efficient and Streamable Speech Language Model with the Best of Two Worlds in GPT and T5. CoRR (2024)
Zhehuai Chen, He Huang, Andrei Andrusenko, Oleksii Hrinchuk, Krishna C. Puvvada, Jason Li, Subhankar Ghosh, Jagadeesh Balam, Boris Ginsburg
SALM: Speech-Augmented Language Model with in-Context Learning for Speech Recognition and Translation. ICASSP (2024)
Zhehuai Chen, He Huang, Andrei Andrusenko, Oleksii Hrinchuk, Krishna C. Puvvada, Jason Li, Subhankar Ghosh, Jagadeesh Balam, Boris Ginsburg
SALM: Speech-augmented Language Model with In-context Learning for Speech Recognition and Translation. CoRR (2023)
Sarthak Mittal, Oleksii Hrinchuk, Oleksii Kuchaiev
Leveraging Synthetic Targets for Machine Translation. CoRR (2023)
Dima Rekesh, Nithin Rao Koluguri, Samuel Kriman, Somshubra Majumdar, Vahid Noroozi, He Huang, Oleksii Hrinchuk, Krishna C. Puvvada, Ankur Kumar, Jagadeesh Balam, Boris Ginsburg
Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition. ASRU (2023)
Oleksii Hrinchuk, Vladimir Bataev, Evelina Bakhturina, Boris Ginsburg
NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2023. IWSLT@ACL (2023)
Dima Rekesh, Samuel Kriman, Somshubra Majumdar, Vahid Noroozi, He Huang, Oleksii Hrinchuk, Ankur Kumar, Boris Ginsburg
Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition. CoRR (2023)
Sarthak Mittal, Oleksii Hrinchuk, Oleksii Kuchaiev
Leveraging Synthetic Targets for Machine Translation. ACL (Findings) (2023)
Virginia Adams, Sandeep Subramanian, Mike Chrzanowski, Oleksii Hrinchuk, Oleksii Kuchaiev
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation. CoRR (2022)
Oleksii Hrinchuk, Vahid Noroozi, Ashwinkumar Ganesan, Sarah Campbell, Sandeep Subramanian, Somshubra Majumdar, Oleksii Kuchaiev
NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022. IWSLT@ACL (2022)
Sandeep Subramanian, Oleksii Hrinchuk, Virginia Adams, Oleksii Kuchaiev
NVIDIA NeMo's Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21. WMT@EMNLP (2021)
Sandeep Subramanian, Oleksii Hrinchuk, Virginia Adams, Oleksii Kuchaiev
NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21. CoRR (2021)
Oleksii Hrinchuk, Valentin Khrulkov, Leyla Mirvakhabova, Elena D. Orlova, Ivan V. Oseledets
Tensorized Embedding Layers. EMNLP (Findings) (2020)
Oleksii Hrinchuk, Mariya Popova, Boris Ginsburg
Correction of Automatic Speech Recognition with Transformer Sequence-To-Sequence Model. ICASSP (2020)
Sergey Kolesnikov, Oleksii Hrinchuk
Catalyst.RL: A Distributed Framework for Reproducible RL Research. CoRR (2019)
Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp
Artificial Intelligence for Prosthetics - challenge solutions. CoRR (2019)
Oleksii Kuchaiev, Jason Li, Huyen Nguyen, Oleksii Hrinchuk, Ryan Leary, Boris Ginsburg, Samuel Kriman, Stanislav Beliaev, Vitaly Lavrukhin, Jack Cook, Patrice Castonguay, Mariya Popova, Jocelyn Huang, Jonathan M. Cohen
NeMo: a toolkit for building AI applications using Neural Modules. CoRR (2019)
Boris Ginsburg, Patrice Castonguay, Oleksii Hrinchuk, Oleksii Kuchaiev, Vitaly Lavrukhin, Ryan Leary, Jason Li, Huyen Nguyen, Jonathan M. Cohen
Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks. CoRR (2019)
Valentin Khrulkov, Oleksii Hrinchuk, Ivan V. Oseledets
Generalized Tensor Models for Recurrent Neural Networks. CoRR (2019)
Valentin Khrulkov, Oleksii Hrinchuk, Ivan V. Oseledets
Generalized Tensor Models for Recurrent Neural Networks. ICLR (Poster) (2019)
Valentin Khrulkov, Oleksii Hrinchuk, Leyla Mirvakhabova, Ivan V. Oseledets
Tensorized Embedding Layers for Efficient Model Compression. CoRR (2019)
Oleksii Hrinchuk, Mariya Popova, Boris Ginsburg
Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model. CoRR (2019)
Andrey Somov, Dmitrii G. Shadrin, Ilia Fastovets, Artyom Nikitin, Sergey A. Matveev, Ivan V. Oseledets, Oleksii Hrinchuk
Pervasive Agriculture: IoT-Enabled Greenhouse for Plant Growth Control. IEEE Pervasive Comput. 17 (4) (2018)
Alexander Fonarev, Oleksii Hrinchuk, Gleb Gusev, Pavel Serdyukov, Ivan V. Oseledets
Riemannian Optimization for Skip-Gram Negative Sampling. ACL (1) (2017)
Alexander Fonarev, Oleksii Hrinchuk, Gleb Gusev, Pavel Serdyukov, Ivan V. Oseledets
Riemannian Optimization for Skip-Gram Negative Sampling. CoRR (2017)