Likhomanenko, Tatiana

12 publications

NeurIPS 2025 Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan Silovsky, Kunal Talwar, Christopher Brinton, Tatiana Likhomanenko

ICLR 2025 Theory, Analysis, and Best Practices for Sigmoid Self-Attention Jason Ramapuram, Federico Danieli, Eeshan Gunesh Dhekane, Floris Weers, Dan Busbridge, Pierre Ablin, Tatiana Likhomanenko, Jagrit Digani, Zijin Gu, Amitis Shidani, Russell Webb

ECCVW 2024 AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition Andrew Rouditchenko, Ronan Collobert, Tatiana Likhomanenko

ICLR 2023 Continuous Pseudo-Labeling from the Start Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko

NeurIPSW 2023 Federated Learning for Speech Recognition: Revisiting Current Trends Towards Large-Scale ASR Sheikh Shams Azam, Martin Pelikan, Vitaly Feldman, Kunal Talwar, Jan Silovsky, Tatiana Likhomanenko

NeurIPS 2023 How to Scale Your EMA Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau Cuadros, Russell Webb

ICML 2023 Stabilizing Transformer Training by Preventing Attention Entropy Collapse Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind

NeurIPSW 2022 Continuous Soft Pseudo-Labeling in ASR Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio

ICML 2022 Flashlight: Enabling Innovation in Tools for Machine Learning Jacob D Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

ICML 2022 Position Prediction as an Effective Pretraining Strategy Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M Susskind

NeurIPS 2021 CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings Tatiana Likhomanenko, Qiantong Xu, Gabriel Synnaeve, Ronan Collobert, Alex Rogozhnikov

ICMLW 2020 End-to-End ASR: From Supervised to Semi-Supervised Learning with Modern Architectures Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Tatiana Likhomanenko, Edouard Grave, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert