The Effectiveness of a two-Layer Neural Network for Recommendations. - Oleg Rybakov; Vijai Mohan; Avishkar Misra; Scott LeGrand; Rejith Joseph; Kiuk Chung; Siddharth Singh; Qian You; Eric T. Nalisnick; Leo Dirac; Runfei Luo (ICLR (Workshop), 2018)

Low-Bit Quantization and Quantization-Aware Training for Small-Footprint Keyword Spotting. - Yuriy Mishchenko; Yusuf Goren; Ming Sun 007; Chris Beauchene; Spyros Matsoukas; Oleg Rybakov; Shiv Naga Prasad Vitaladevuni (ICMLA, 2019)

Two Tiered Distributed Training Algorithm for Acoustic Modeling. - Pranav Ladkat; Oleg Rybakov; Radhika Arava; Sree Hari Krishnan Parthasarathi; I-Fan Chen; Nikko Strom (INTERSPEECH, 2019)

Streaming Keyword Spotting on Mobile Devices. - Oleg Rybakov; Natasha Kononenko; Niranjan Subrahmanya; Mirkó Visontai; Stella Laurenzo (INTERSPEECH, 2020)

Pareto-Optimal Quantized ResNet Is Mostly 4-Bit. - AmirAli Abdolrashidi; Lisa Wang; Shivani Agrawal; Jonathan Malmaud; Oleg Rybakov; Chas Leichner; Lukasz Lew (CVPR Workshops, 2021)

Real-Time Speech Frequency Bandwidth Extension. - Yunpeng Li 008; Marco Tagliasacchi; Oleg Rybakov; Victor Ungureanu; Dominik Roblek (ICASSP, 2021)

A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization. - Fadi Biadsy; Youzheng Chen; Xia Zhang; Oleg Rybakov; Andrew Rosenberg; Pedro J. Moreno 001 (INTERSPEECH, 2022)

4-bit Conformer with Native Quantization Aware Training for Speech Recognition. - Shaojin Ding; Phoenix Meadowlark; Yanzhang He; Lukasz Lew; Shivani Agrawal; Oleg Rybakov (INTERSPEECH, 2022)

STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition. - Yucheng Lu; Shivani Agrawal; Suvinay Subramanian; Oleg Rybakov; Christopher De Sa; Amir Yazdanbakhsh (ICML, 2023)

Streaming Parrotron for on-device speech-to-speech conversion. - Oleg Rybakov; Fadi Biadsy; Xia Zhang; Liyang Jiang; Phoenix Meadowlark; Shivani Agrawal (INTERSPEECH, 2023)

2-bit Conformer quantization for automatic speech recognition. - Oleg Rybakov; Phoenix Meadowlark; Shaojin Ding; David Qiu; Jian Li; David Rim; Yanzhang He (INTERSPEECH, 2023)

Real time spectrogram inversion on mobile phone. - Oleg Rybakov; Marco Tagliasacchi; Yunpeng Li 008; Liyang Jiang; Xia Zhang; Fadi Biadsy (INTERSPEECH, 2023)

RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models. - David Qiu; David Rim; Shaojin Ding; Oleg Rybakov; Yanzhang He (CoRR, 2023)

USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. - Shaojin Ding; David Qiu; David Rim; Yanzhang He; Oleg Rybakov; Bo Li 028; Rohit Prabhavalkar; Weiran Wang; Tara N. Sainath; Zhonglin Han; Jian Li; Amir Yazdanbakhsh; et al. (ICASSP, 2024)

FedAQT: Accurate Quantized Training with Federated Learning. - Renkun Ni; Yonghui Xiao; Phoenix Meadowlark; Oleg Rybakov; Tom Goldstein; Ananda Theertha Suresh; Ignacio López-Moreno; Mingqing Chen; Rajiv Mathews (ICASSP, 2024)

USM RNN-T model weights binarization. - Oleg Rybakov; Dmitriy Serdyuk; Chengjian Zheng (INTERSPEECH, 2024)

Rand: Robustness Aware Norm Decay for Quantized Neural Networks. - David Qiu; David Rim; Shaojin Ding; Oleg Rybakov; Yanzhang He (SLT, 2024)

Methods of improving LLM training stability. - Oleg Rybakov; Mike Chrzanowski; Peter Dykas; Jinze Xue; Ben Lanir (CoRR, 2024)

A FeFET-Based ADC Offset Robust Compute-In-Memory Architecture for Streaming Keyword Spotting (KWS). - Yandong Luo; Johan Vanderhaegen; Oleg Rybakov; Martin Kraemer; Niel Warren; Shimeng Yu (IEEE Trans. Emerg. Top. Comput., 2024)

SimulTron: On-Device Simultaneous Speech to Speech Translation. - Alex Agranovich; Eliya Nachmani; Oleg Rybakov; Yifan Ding; Ye Jia; Nadav Bar; Heiga Zen; Michelle Tadmor Ramanovich (ICASSP, 2025)