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Tatiana Likhomanenko
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Conference and Workshop Papers
- 2023
- [c22]Mozhdeh Gheini, Tatiana Likhomanenko, Matthias Sperber, Hendra Setiawan:
Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data. ACL (Findings) 2023: 7637-7650 - [c21]Sheikh Shams Azam, Tatiana Likhomanenko, Martin Pelikan, Jan Honza Silovsky:
Importance of Smoothness Induced by Optimizers in Fl4Asr: Towards Understanding Federated Learning for End-To-End ASR. ASRU 2023: 1-8 - [c20]Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko:
More Speaking or More Speakers? ICASSP 2023: 1-5 - [c19]Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko:
Continuous pseudo-labeling from the start. ICLR 2023 - [c18]Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind:
Stabilizing Transformer Training by Preventing Attention Entropy Collapse. ICML 2023: 40770-40803 - [c17]Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau Cuadros, Russell Webb:
How to Scale Your EMA. NeurIPS 2023 - 2022
- [c16]Vineel Pratap, Qiantong Xu, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Word Order does not Matter for Speech Recognition. ICASSP 2022: 7202-7206 - [c15]Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Pseudo-Labeling for Massively Multilingual Speech Recognition. ICASSP 2022: 7687-7691 - [c14]Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio:
Continuous Soft Pseudo-Labeling in ASR. ICBINB 2022: 66-84 - [c13]Jacob D. Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Y. Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Flashlight: Enabling Innovation in Tools for Machine Learning. ICML 2022: 10557-10574 - [c12]Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind:
Position Prediction as an Effective Pretraining Strategy. ICML 2022: 26010-26027 - 2021
- [c11]Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Kaizen: Continuously Improving Teacher Using Exponential Moving Average for Semi-Supervised Speech Recognition. ASRU 2021: 518-525 - [c10]Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Self-Training and Pre-Training are Complementary for Speech Recognition. ICASSP 2021: 3030-3034 - [c9]Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve:
Joint Masked CPC And CTC Training For ASR. ICASSP 2021: 3045-3049 - [c8]Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn, Gilad Avidov, Ronan Collobert, Gabriel Synnaeve:
Rethinking Evaluation in ASR: Are Our Models Robust Enough? Interspeech 2021: 311-315 - [c7]Wei-Ning Hsu, Anuroop Sriram
, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. Interspeech 2021: 721-725 - [c6]Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert:
slimIPL: Language-Model-Free Iterative Pseudo-Labeling. Interspeech 2021: 741-745 - [c5]Tatiana Likhomanenko, Qiantong Xu, Gabriel Synnaeve, Ronan Collobert, Alex Rogozhnikov:
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings. NeurIPS 2021: 16079-16092 - 2020
- [c4]Jacob Kahn, Morgane Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux
:
Libri-Light: A Benchmark for ASR with Limited or No Supervision. ICASSP 2020: 7669-7673 - [c3]Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert:
Iterative Pseudo-Labeling for Speech Recognition. INTERSPEECH 2020: 1006-1010 - [c2]Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Scaling Up Online Speech Recognition Using ConvNets. INTERSPEECH 2020: 3376-3380 - 2019
- [c1]Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Who Needs Words? Lexicon-Free Speech Recognition. INTERSPEECH 2019: 3915-3919
Informal and Other Publications
- 2024
- [i30]Zakaria Aldeneh, Takuya Higuchi, Jee-weon Jung, Skyler Seto, Tatiana Likhomanenko, Stephen Shum, Ahmed Hussen Abdelaziz, Shinji Watanabe, Barry-John Theobald:
Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features? CoRR abs/2402.00340 (2024) - [i29]Zijin Gu, Tatiana Likhomanenko, He Bai, Erik McDermott, Ronan Collobert, Navdeep Jaitly:
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition. CoRR abs/2405.15216 (2024) - 2023
- [i28]Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind:
Stabilizing Transformer Training by Preventing Attention Entropy Collapse. CoRR abs/2303.06296 (2023) - [i27]Tatiana Likhomanenko, Loren Lugosch, Ronan Collobert:
Unsupervised ASR via Cross-Lingual Pseudo-Labeling. CoRR abs/2305.13330 (2023) - [i26]Haoping Bai, Shancong Mou, Tatiana Likhomanenko, Ramazan Gokberk Cinbis, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi, Meng Cao:
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON. CoRR abs/2306.07890 (2023) - [i25]Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau, Russ Webb:
How to Scale Your EMA. CoRR abs/2307.13813 (2023) - [i24]Sheikh Shams Azam, Tatiana Likhomanenko, Martin Pelikan, Jan Honza Silovsky:
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR. CoRR abs/2309.13102 (2023) - [i23]Andrew Rouditchenko, Ronan Collobert, Tatiana Likhomanenko:
AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition. CoRR abs/2309.17395 (2023) - [i22]Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan Honza Silovsky, Kunal Talwar, Tatiana Likhomanenko:
Federated Learning with Differential Privacy for End-to-End Speech Recognition. CoRR abs/2310.00098 (2023) - 2022
- [i21]Jacob Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Y. Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Flashlight: Enabling Innovation in Tools for Machine Learning. CoRR abs/2201.12465 (2022) - [i20]Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind:
Position Prediction as an Effective Pretraining Strategy. CoRR abs/2207.07611 (2022) - [i19]Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko:
Continuous Pseudo-Labeling from the Start. CoRR abs/2210.08711 (2022) - [i18]Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko:
More Speaking or More Speakers? CoRR abs/2211.00854 (2022) - [i17]Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio:
Continuous Soft Pseudo-Labeling in ASR. CoRR abs/2211.06007 (2022) - [i16]Mozhdeh Gheini, Tatiana Likhomanenko, Matthias Sperber, Hendra Setiawan:
Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data. CoRR abs/2212.09982 (2022) - 2021
- [i15]Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. CoRR abs/2104.01027 (2021) - [i14]Tatiana Likhomanenko, Qiantong Xu, Ronan Collobert, Gabriel Synnaeve, Alex Rogozhnikov:
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings. CoRR abs/2106.03143 (2021) - [i13]Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition. CoRR abs/2106.07759 (2021) - [i12]Vineel Pratap, Qiantong Xu, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Word Order Does Not Matter For Speech Recognition. CoRR abs/2110.05994 (2021) - [i11]Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Pseudo-Labeling for Massively Multilingual Speech Recognition. CoRR abs/2111.00161 (2021) - 2020
- [i10]Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Scaling Up Online Speech Recognition Using ConvNets. CoRR abs/2001.09727 (2020) - [i9]Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert:
Iterative Pseudo-Labeling for Speech Recognition. CoRR abs/2005.09267 (2020) - [i8]Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Self-training and Pre-training are Complementary for Speech Recognition. CoRR abs/2010.11430 (2020) - [i7]Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert:
slimIPL: Language-Model-Free Iterative Pseudo-Labeling. CoRR abs/2010.11524 (2020) - [i6]Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn, Gilad Avidov, Ronan Collobert, Gabriel Synnaeve:
Rethinking Evaluation in ASR: Are Our Models Robust Enough? CoRR abs/2010.11745 (2020) - [i5]Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve:
Joint Masked CPC and CTC Training for ASR. CoRR abs/2011.00093 (2020) - 2019
- [i4]Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Who Needs Words? Lexicon-Free Speech Recognition. CoRR abs/1904.04479 (2019) - [i3]Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Edouard Grave, Tatiana Likhomanenko, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert:
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures. CoRR abs/1911.08460 (2019) - [i2]Jacob Kahn, Morgane Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux:
Libri-Light: A Benchmark for ASR with Limited or No Supervision. CoRR abs/1912.07875 (2019) - 2017
- [i1]Alex Rogozhnikov, Tatiana Likhomanenko:
InfiniteBoost: building infinite ensembles with gradient descent. CoRR abs/1706.01109 (2017)
Coauthor Index
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