Oleg Rybakov - RankMe

32 papers A* 1A 8C 1Misc 4Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery. CoRR Meng Xin, Sweta Priyadarshi, Jingyu Xin, Bilal Kartal, Aditya Vavre, Asma Kuriparambil Thekkumpate, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Ido Shahaf, Akhiad Bercovich, Kinjal Patel, Suguna Varshini Velury, Chenjie Luo, Zhiyu Cheng, Jenny Chen, Chen-Han Yu, Wei Ping, Oleg Rybakov, Nima Tajbakhsh, Oluwatobi Olabiyi, Dusan Stosic, Di Wu, Song Han, Eric Chung, Sharath Turuvekere Sreenivas, Bryan Catanzaro, Yoshi Suhara, Tijmen Blankevoort, Huizi Mao
2025	Misc	`conf`	SimulTron: On-Device Simultaneous Speech to Speech Translation. ICASSP Alex Agranovich, Eliya Nachmani, Oleg Rybakov, Yifan Ding, Ye Jia, Nadav Bar, Heiga Zen, Michelle Tadmor Ramanovich
2024	J	`jnl`	A FeFET-Based ADC Offset Robust Compute-In-Memory Architecture for Streaming Keyword Spotting (KWS). IEEE Trans. Emerg. Top. Comput. Yandong Luo, Johan Vanderhaegen, Oleg Rybakov, Martin Kraemer, Niel Warren, Shimeng Yu
2024	Misc	`conf`	FedAQT: Accurate Quantized Training with Federated Learning. ICASSP Renkun Ni, Yonghui Xiao, Phoenix Meadowlark, Oleg Rybakov, Tom Goldstein, Ananda Theertha Suresh, Ignacio López-Moreno, Mingqing Chen, Rajiv Mathews
2024	J	`jnl`	Methods of improving LLM training stability. CoRR Oleg Rybakov, Mike Chrzanowski, Peter Dykas, Jinze Xue, Ben Lanir
2024	—	`conf`	Rand: Robustness Aware Norm Decay for Quantized Neural Networks. SLT David Qiu, David Rim, Shaojin Ding, Oleg Rybakov, Yanzhang He
2024	J	`jnl`	SimulTron: On-Device Simultaneous Speech to Speech Translation. CoRR Alex Agranovich, Eliya Nachmani, Oleg Rybakov, Yifan Ding, Ye Jia, Nadav Bar, Heiga Zen, Michelle Tadmor Ramanovich
2024	A	`conf`	USM RNN-T model weights binarization. INTERSPEECH Oleg Rybakov, Dmitriy Serdyuk, Chengjian Zheng
2024	J	`jnl`	USM RNN-T model weights binarization. CoRR Oleg Rybakov, Dmitriy Serdyuk, Chengjian Zheng
2024	Misc	`conf`	USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. ICASSP 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
2023	A	`conf`	2-bit Conformer quantization for automatic speech recognition. INTERSPEECH Oleg Rybakov, Phoenix Meadowlark, Shaojin Ding, David Qiu, Jian Li, David Rim, Yanzhang He
2023	J	`jnl`	RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models. CoRR David Qiu, David Rim, Shaojin Ding, Oleg Rybakov, Yanzhang He
2023	A	`conf`	Real time spectrogram inversion on mobile phone. INTERSPEECH Oleg Rybakov, Marco Tagliasacchi, Yunpeng Li, Liyang Jiang, Xia Zhang, Fadi Biadsy
2023	A*	`conf`	STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition. ICML Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh
2023	J	`jnl`	STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition. CoRR Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh
2023	A	`conf`	Streaming Parrotron for on-device speech-to-speech conversion. INTERSPEECH Oleg Rybakov, Fadi Biadsy, Xia Zhang, Liyang Jiang, Phoenix Meadowlark, Shivani Agrawal
2023	J	`jnl`	USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech Recognition with Universal Speech Models. CoRR 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
2022	A	`conf`	4-bit Conformer with Native Quantization Aware Training for Speech Recognition. INTERSPEECH Shaojin Ding, Phoenix Meadowlark, Yanzhang He, Lukasz Lew, Shivani Agrawal, Oleg Rybakov
2022	J	`jnl`	4-bit Conformer with Native Quantization Aware Training for Speech Recognition. CoRR Shaojin Ding, Phoenix Meadowlark, Yanzhang He, Lukasz Lew, Shivani Agrawal, Oleg Rybakov
2022	A	`conf`	A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization. INTERSPEECH Fadi Biadsy, Youzheng Chen, Xia Zhang, Oleg Rybakov, Andrew Rosenberg, Pedro J. Moreno
2022	J	`jnl`	A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization. CoRR Fadi Biadsy, Youzheng Chen, Xia Zhang, Oleg Rybakov, Andrew Rosenberg, Pedro J. Moreno
2022	J	`jnl`	Real time spectrogram inversion on mobile phone. CoRR Oleg Rybakov, Marco Tagliasacchi, Yunpeng Li, Liyang Jiang, Xia Zhang, Fadi Biadsy
2022	J	`jnl`	Streaming Parrotron for on-device speech-to-speech conversion. CoRR Oleg Rybakov, Fadi Biadsy, Xia Zhang, Liyang Jiang, Phoenix Meadowlark, Shivani Agrawal
2021	—	`conf`	Pareto-Optimal Quantized ResNet Is Mostly 4-Bit. CVPR Workshops AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew
2021	J	`jnl`	Pareto-Optimal Quantized ResNet Is Mostly 4-bit. CoRR AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew
2021	Misc	`conf`	Real-Time Speech Frequency Bandwidth Extension. ICASSP Yunpeng Li, Marco Tagliasacchi, Oleg Rybakov, Victor Ungureanu, Dominik Roblek
2020	J	`jnl`	Real-time Speech Frequency Bandwidth Extension. CoRR Yunpeng Li, Marco Tagliasacchi, Oleg Rybakov, Victor Ungureanu, Dominik Roblek
2020	A	`conf`	Streaming Keyword Spotting on Mobile Devices. INTERSPEECH Oleg Rybakov, Natasha Kononenko, Niranjan Subrahmanya, Mirkó Visontai, Stella Laurenzo
2020	J	`jnl`	Streaming keyword spotting on mobile devices. CoRR Oleg Rybakov, Natasha Kononenko, Niranjan Subrahmanya, Mirkó Visontai, Stella Laurenzo
2019	C	`conf`	Low-Bit Quantization and Quantization-Aware Training for Small-Footprint Keyword Spotting. ICMLA Yuriy Mishchenko, Yusuf Goren, Ming Sun, Chris Beauchene, Spyros Matsoukas, Oleg Rybakov, Shiv Naga Prasad Vitaladevuni
2019	A	`conf`	Two Tiered Distributed Training Algorithm for Acoustic Modeling. INTERSPEECH Pranav Ladkat, Oleg Rybakov, Radhika Arava, Sree Hari Krishnan Parthasarathi, I-Fan Chen, Nikko Strom
2018	—	`conf`	The Effectiveness of a two-Layer Neural Network for Recommendations. ICLR (Workshop) Oleg Rybakov, Vijai Mohan, Avishkar Misra, Scott LeGrand, Rejith Joseph, Kiuk Chung, Siddharth Singh, Qian You, Eric T. Nalisnick, Leo Dirac, Runfei Luo