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Oleg Rybakov
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2020 – today
- 2024
- [j1]Yandong Luo, Johan Vanderhaegen, Oleg Rybakov, Martin Kraemer, Niel Warren, Shimeng Yu:
A FeFET-Based ADC Offset Robust Compute-In-Memory Architecture for Streaming Keyword Spotting (KWS). IEEE Trans. Emerg. Top. Comput. 12(1): 23-34 (2024) - [c14]Renkun Ni, Yonghui Xiao, Phoenix Meadowlark, Oleg Rybakov, Tom Goldstein, Ananda Theertha Suresh, Ignacio López-Moreno, Mingqing Chen, Rajiv Mathews:
FedAQT: Accurate Quantized Training with Federated Learning. ICASSP 2024: 6100-6104 - [c13]Shaojin Ding, David Qiu, David Rim, Yanzhang He, Oleg Rybakov, Bo Li, Rohit Prabhavalkar, Weiran Wang, Tara N. Sainath, Zhonglin Han, Jian Li, Amir Yazdanbakhsh, Shivani Agrawal:
USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. ICASSP 2024: 10756-10760 - [i13]Alex Agranovich, Eliya Nachmani, Oleg Rybakov, Yifan Ding, Ye Jia, Nadav Bar, Heiga Zen, Michelle Tadmor Ramanovich:
SimulTron: On-Device Simultaneous Speech to Speech Translation. CoRR abs/2406.02133 (2024) - [i12]Oleg Rybakov, Dmitriy Serdyuk, Chengjian Zheng:
USM RNN-T model weights binarization. CoRR abs/2406.02887 (2024) - [i11]Oleg Rybakov, Mike Chrzanowski, Peter Dykas, Jinze Xue, Ben Lanir:
Methods of improving LLM training stability. CoRR abs/2410.16682 (2024) - 2023
- [c12]Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh:
STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition. ICML 2023: 22812-22824 - [c11]Oleg Rybakov, Fadi Biadsy, Xia Zhang, Liyang Jiang, Phoenix Meadowlark, Shivani Agrawal:
Streaming Parrotron for on-device speech-to-speech conversion. INTERSPEECH 2023: 2033-2037 - [c10]Oleg Rybakov, Marco Tagliasacchi, Yunpeng Li, Liyang Jiang, Xia Zhang, Fadi Biadsy:
Real time spectrogram inversion on mobile phone. INTERSPEECH 2023: 4314-4318 - [c9]Oleg Rybakov, Phoenix Meadowlark, Shaojin Ding, David Qiu, Jian Li, David Rim, Yanzhang He:
2-bit Conformer quantization for automatic speech recognition. INTERSPEECH 2023: 4908-4912 - [i10]Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh:
STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition. CoRR abs/2302.01172 (2023) - [i9]David Qiu, David Rim, Shaojin Ding, Oleg Rybakov, Yanzhang He:
RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models. CoRR abs/2305.15536 (2023) - [i8]Shaojin Ding, David Qiu, David Rim, Yanzhang He, Oleg Rybakov, Bo Li, Rohit Prabhavalkar, Weiran Wang, Tara N. Sainath, Shivani Agrawal, Zhonglin Han, Jian Li, Amir Yazdanbakhsh:
USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech Recognition with Universal Speech Models. CoRR abs/2312.08553 (2023) - 2022
- [c8]Shaojin Ding, Phoenix Meadowlark, Yanzhang He, Lukasz Lew, Shivani Agrawal, Oleg Rybakov:
4-bit Conformer with Native Quantization Aware Training for Speech Recognition. INTERSPEECH 2022: 1711-1715 - [c7]Fadi Biadsy, Youzheng Chen, Xia Zhang, Oleg Rybakov, Andrew Rosenberg, Pedro J. Moreno:
A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization. INTERSPEECH 2022: 5125-5129 - [i7]Oleg Rybakov, Marco Tagliasacchi, Yunpeng Li, Liyang Jiang, Xia Zhang, Fadi Biadsy:
Real time spectrogram inversion on mobile phone. CoRR abs/2203.00756 (2022) - [i6]Fadi Biadsy, Youzheng Chen, Xia Zhang, Oleg Rybakov, Andrew Rosenberg, Pedro J. Moreno:
A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization. CoRR abs/2203.12559 (2022) - [i5]Shaojin Ding, Phoenix Meadowlark, Yanzhang He, Lukasz Lew, Shivani Agrawal, Oleg Rybakov:
4-bit Conformer with Native Quantization Aware Training for Speech Recognition. CoRR abs/2203.15952 (2022) - [i4]Oleg Rybakov, Fadi Biadsy, Xia Zhang, Liyang Jiang, Phoenix Meadowlark, Shivani Agrawal:
Streaming Parrotron for on-device speech-to-speech conversion. CoRR abs/2210.13761 (2022) - 2021
- [c6]AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew:
Pareto-Optimal Quantized ResNet Is Mostly 4-Bit. CVPR Workshops 2021: 3091-3099 - [c5]Yunpeng Li, Marco Tagliasacchi, Oleg Rybakov, Victor Ungureanu, Dominik Roblek:
Real-Time Speech Frequency Bandwidth Extension. ICASSP 2021: 691-695 - [i3]AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew:
Pareto-Optimal Quantized ResNet Is Mostly 4-bit. CoRR abs/2105.03536 (2021) - 2020
- [c4]Oleg Rybakov, Natasha Kononenko, Niranjan Subrahmanya, Mirkó Visontai, Stella Laurenzo:
Streaming Keyword Spotting on Mobile Devices. INTERSPEECH 2020: 2277-2281 - [i2]Oleg Rybakov, Natasha Kononenko, Niranjan Subrahmanya, Mirkó Visontai, Stella Laurenzo:
Streaming keyword spotting on mobile devices. CoRR abs/2005.06720 (2020) - [i1]Yunpeng Li, Marco Tagliasacchi, Oleg Rybakov, Victor Ungureanu, Dominik Roblek:
Real-time Speech Frequency Bandwidth Extension. CoRR abs/2010.10677 (2020)
2010 – 2019
- 2019
- [c3]Yuriy Mishchenko, Yusuf Goren, Ming Sun, Chris Beauchene, Spyros Matsoukas, Oleg Rybakov, Shiv Naga Prasad Vitaladevuni:
Low-Bit Quantization and Quantization-Aware Training for Small-Footprint Keyword Spotting. ICMLA 2019: 706-711 - [c2]Pranav Ladkat, Oleg Rybakov, Radhika Arava, Sree Hari Krishnan Parthasarathi, I-Fan Chen, Nikko Strom:
Two Tiered Distributed Training Algorithm for Acoustic Modeling. INTERSPEECH 2019: 1626-1630 - 2018
- [c1]Oleg Rybakov, Vijai Mohan, Avishkar Misra, Scott LeGrand, Rejith Joseph, Kiuk Chung, Siddharth Singh, Qian You, Eric T. Nalisnick, Leo Dirac, Runfei Luo:
The Effectiveness of a two-Layer Neural Network for Recommendations. ICLR (Workshop) 2018
Coauthor Index
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last updated on 2025-01-09 13:07 CET by the dblp team
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