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2020 – today
- 2024
[j1]Vineel Pratap, Andros Tjandra, Bowen Shi, Paden Tomasello, Arun Babu, Sayani Kundu, Ali Elkahky, Zhaoheng Ni, Apoorv Vyas, Maryam Fazel-Zarandi, Alexei Baevski, Yossi Adi, Xiaohui Zhang, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Scaling Speech Technology to 1, 000+ Languages. J. Mach. Learn. Res. 25: 97:1-97:52 (2024)- 2023
- [c33]Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Bing Liu, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Guan-Ting Lin, Alexei Baevski, Hung-yi Lee, Yizhou Sun, Wei Wang:
Introducing Semantics into Speech Encoders. ACL (1) 2023: 11413-11429 - [c32]Jiachen Lian, Alexei Baevski, Wei-Ning Hsu, Michael Auli:
Av-Data2Vec: Self-Supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations. ASRU 2023: 1-8 - [c31]Ju-Chieh Chou, Chung-Ming Chien, Wei-Ning Hsu, Karen Livescu, Arun Babu, Alexis Conneau, Alexei Baevski, Michael Auli:
Toward Joint Language Modeling for Speech Units and Text. EMNLP (Findings) 2023: 6582-6593 - [c30]Ramon Sanabria, Wei-Ning Hsu, Alexei Baevski, Michael Auli:
Measuring the Impact of Domain Factors in Self-Supervised Pre-Training. ICASSP Workshops 2023: 1-5 - [c29]Alexei Baevski, Arun Babu, Wei-Ning Hsu, Michael Auli:
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language. ICML 2023: 1416-1429 - [i37]Jiachen Lian, Alexei Baevski, Wei-Ning Hsu, Michael Auli:
AV-data2vec: Self-supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations. CoRR abs/2302.06419 (2023) - [i36]Karmesh Yadav, Arjun Majumdar, Ram Ramrakhya, Naoki Yokoyama, Alexei Baevski, Zsolt Kira, Oleksandr Maksymets, Dhruv Batra:
OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav. CoRR abs/2303.07798 (2023) - [i35]Vineel Pratap, Andros Tjandra, Bowen Shi, Paden Tomasello, Arun Babu, Sayani Kundu, Ali Elkahky, Zhaoheng Ni, Apoorv Vyas, Maryam Fazel-Zarandi, Alexei Baevski, Yossi Adi, Xiaohui Zhang, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Scaling Speech Technology to 1, 000+ Languages. CoRR abs/2305.13516 (2023) - [i34]Ju-Chieh Chou, Chung-Ming Chien, Wei-Ning Hsu, Karen Livescu, Arun Babu, Alexis Conneau, Alexei Baevski, Michael Auli:
Toward Joint Language Modeling for Speech Units and Text. CoRR abs/2310.08715 (2023) - 2022
- [c28]Yun Tang, Hongyu Gong, Ning Dong, Changhan Wang, Wei-Ning Hsu, Jiatao Gu, Alexei Baevski, Xian Li, Abdelrahman Mohamed, Michael Auli, Juan Miguel Pino:
Unified Speech-Text Pre-training for Speech Translation and Recognition. ACL (1) 2022: 1488-1499 - [c27]Andros Tjandra, Diptanu Gon Choudhury, Frank Zhang, Kritika Singh, Alexis Conneau, Alexei Baevski, Assaf Sela, Yatharth Saraf, Michael Auli:
Improved Language Identification Through Cross-Lingual Self-Supervised Learning. ICASSP 2022: 6877-6881 - [c26]Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli:
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language. ICML 2022: 1298-1312 - [c25]Alexander H. Liu, Cheng-I Lai, Wei-Ning Hsu, Michael Auli, Alexei Baevski, James R. Glass:
Simple and Effective Unsupervised Speech Synthesis. INTERSPEECH 2022: 843-847 - [c24]Qiantong Xu, Alexei Baevski, Michael Auli:
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition. INTERSPEECH 2022: 2113-2117 - [c23]Arun Babu, Changhan Wang, Andros Tjandra, Kushal Lakhotia, Qiantong Xu, Naman Goyal, Kritika Singh, Patrick von Platen, Yatharth Saraf, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli:
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale. INTERSPEECH 2022: 2278-2282 - [c22]Apoorv Vyas, Wei-Ning Hsu, Michael Auli, Alexei Baevski:
On-demand compute reduction with stochastic wav2vec 2.0. INTERSPEECH 2022: 3048-3052 - [c21]Anuroop Sriram, Michael Auli, Alexei Baevski:
Wav2Vec-Aug: Improved self-supervised training with limited data. INTERSPEECH 2022: 4950-4954 - [c20]Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer:
Masked Autoencoders that Listen. NeurIPS 2022 - [c19]Alexander H. Liu, Wei-Ning Hsu, Michael Auli, Alexei Baevski:
Towards End-to-End Unsupervised Speech Recognition. SLT 2022: 221-228 - [i33]Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli:
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language. CoRR abs/2202.03555 (2022) - [i32]Ramon Sanabria, Wei-Ning Hsu, Alexei Baevski, Michael Auli:
Measuring the Impact of Individual Domain Factors in Self-Supervised Pre-Training. CoRR abs/2203.00648 (2022) - [i31]Alexander H. Liu, Wei-Ning Hsu, Michael Auli, Alexei Baevski:
Towards End-to-end Unsupervised Speech Recognition. CoRR abs/2204.02492 (2022) - [i30]Alexander H. Liu, Cheng-I Jeff Lai, Wei-Ning Hsu, Michael Auli, Alexei Baevski, James R. Glass:
Simple and Effective Unsupervised Speech Synthesis. CoRR abs/2204.02524 (2022) - [i29]Yun Tang, Hongyu Gong, Ning Dong, Changhan Wang, Wei-Ning Hsu, Jiatao Gu, Alexei Baevski, Xian Li, Abdelrahman Mohamed, Michael Auli, Juan Miguel Pino:
Unified Speech-Text Pre-training for Speech Translation and Recognition. CoRR abs/2204.05409 (2022) - [i28]Apoorv Vyas, Wei-Ning Hsu, Michael Auli, Alexei Baevski:
On-demand compute reduction with stochastic wav2vec 2.0. CoRR abs/2204.11934 (2022) - [i27]Karmesh Yadav, Ram Ramrakhya, Arjun Majumdar, Vincent-Pierre Berges, Sachit Kuhar, Dhruv Batra, Alexei Baevski, Oleksandr Maksymets:
Offline Visual Representation Learning for Embodied Navigation. CoRR abs/2204.13226 (2022) - [i26]Anuroop Sriram
, Michael Auli, Alexei Baevski:
Wav2Vec-Aug: Improved self-supervised training with limited data. CoRR abs/2206.13654 (2022) - [i25]Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer:
Masked Autoencoders that Listen. CoRR abs/2207.06405 (2022) - [i24]Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Alexei Baevski, Guan-Ting Lin, Hung-yi Lee, Yizhou Sun, Wei Wang:
Introducing Semantics into Speech Encoders. CoRR abs/2211.08402 (2022) - [i23]Alexei Baevski, Arun Babu, Wei-Ning Hsu, Michael Auli:
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language. CoRR abs/2212.07525 (2022) - 2021
- [c18]Xian Li, Changhan Wang, Yun Tang, Chau Tran, Yuqing Tang, Juan Miguel Pino, Alexei Baevski, Alexis Conneau, Michael Auli:
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models. ACL/IJCNLP (1) 2021: 827-838 - [c17]Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela:
Reservoir Transformers. ACL/IJCNLP (1) 2021: 4294-4309 - [c16]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 - [c15]Henry Zhou, Alexei Baevski, Michael Auli:
A Comparison of Discrete Latent Variable Models for Speech Representation Learning. ICASSP 2021: 3050-3054 - [c14]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 - [c13]Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli, Alexis Conneau:
Large-Scale Self- and Semi-Supervised Learning for Speech Translation. Interspeech 2021: 2242-2246 - [c12]Alexis Conneau, Alexei Baevski, Ronan Collobert, Abdelrahman Mohamed, Michael Auli:
Unsupervised Cross-Lingual Representation Learning for Speech Recognition. Interspeech 2021: 2426-2430 - [c11]Alexei Baevski, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Unsupervised Speech Recognition. NeurIPS 2021: 27826-27839 - [i22]Kushal Lakhotia, Evgeny Kharitonov, Wei-Ning Hsu, Yossi Adi, Adam Polyak, Benjamin Bolte, Tu Anh Nguyen, Jade Copet, Alexei Baevski, Adelrahman Mohamed, Emmanuel Dupoux:
Generative Spoken Language Modeling from Raw Audio. CoRR abs/2102.01192 (2021) - [i21]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) - [i20]Changhan Wang, Anne Wu, Juan Miguel Pino, Alexei Baevski, Michael Auli, Alexis Conneau:
Large-Scale Self- and Semi-Supervised Learning for Speech Translation. CoRR abs/2104.06678 (2021) - [i19]Alexei Baevski, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Unsupervised Speech Recognition. CoRR abs/2105.11084 (2021) - [i18]Andros Tjandra, Diptanu Gon Choudhury, Frank Zhang, Kritika Singh, Alexei Baevski, Assaf Sela, Yatharth Saraf, Michael Auli:
Improved Language Identification Through Cross-Lingual Self-Supervised Learning. CoRR abs/2107.04082 (2021) - [i17]Qiantong Xu, Alexei Baevski, Michael Auli:
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition. CoRR abs/2109.11680 (2021) - [i16]Arun Babu, Changhan Wang, Andros Tjandra, Kushal Lakhotia, Qiantong Xu, Naman Goyal, Kritika Singh, Patrick von Platen, Yatharth Saraf, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli:
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale. CoRR abs/2111.09296 (2021) - 2020
- [c10]Alexei Baevski, Abdelrahman Mohamed:
Effectiveness of Self-Supervised Pre-Training for ASR. ICASSP 2020: 7694-7698 - [c9]Alexei Baevski, Steffen Schneider, Michael Auli:
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations. ICLR 2020 - [c8]Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, Michael Auli:
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations. NeurIPS 2020 - [i15]Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, Michael Auli:
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations. CoRR abs/2006.11477 (2020) - [i14]Alexis Conneau, Alexei Baevski, Ronan Collobert, Abdelrahman Mohamed, Michael Auli:
Unsupervised Cross-lingual Representation Learning for Speech Recognition. CoRR abs/2006.13979 (2020) - [i13]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) - [i12]Henry Zhou, Alexei Baevski, Michael Auli:
A Comparison of Discrete Latent Variable Models for Speech Representation Learning. CoRR abs/2010.14230 (2020) - [i11]Tu Anh Nguyen, Maureen de Seyssel, Patricia Rozé, Morgane Rivière, Evgeny Kharitonov, Alexei Baevski, Ewan Dunbar, Emmanuel Dupoux:
The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling. CoRR abs/2011.11588 (2020) - [i10]Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela:
Reservoir Transformer. CoRR abs/2012.15045 (2020)
2010 – 2019
- 2019
- [c7]Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli:
Cloze-driven Pretraining of Self-attention Networks. EMNLP/IJCNLP (1) 2019: 5359-5368 - [c6]Alexei Baevski, Michael Auli:
Adaptive Input Representations for Neural Language Modeling. ICLR (Poster) 2019 - [c5]Felix Wu, Angela Fan, Alexei Baevski, Yann N. Dauphin, Michael Auli:
Pay Less Attention with Lightweight and Dynamic Convolutions. ICLR 2019 - [c4]Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli:
wav2vec: Unsupervised Pre-Training for Speech Recognition. INTERSPEECH 2019: 3465-3469 - [c3]Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli:
fairseq: A Fast, Extensible Toolkit for Sequence Modeling. NAACL-HLT (Demonstrations) 2019: 48-53 - [c2]Sergey Edunov, Alexei Baevski, Michael Auli:
Pre-trained language model representations for language generation. NAACL-HLT (1) 2019: 4052-4059 - [c1]Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov:
Facebook FAIR's WMT19 News Translation Task Submission. WMT (2) 2019: 314-319 - [i9]Felix Wu, Angela Fan, Alexei Baevski, Yann N. Dauphin, Michael Auli:
Pay Less Attention with Lightweight and Dynamic Convolutions. CoRR abs/1901.10430 (2019) - [i8]Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli:
Cloze-driven Pretraining of Self-attention Networks. CoRR abs/1903.07785 (2019) - [i7]Sergey Edunov, Alexei Baevski, Michael Auli:
Pre-trained Language Model Representations for Language Generation. CoRR abs/1903.09722 (2019) - [i6]Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli:
fairseq: A Fast, Extensible Toolkit for Sequence Modeling. CoRR abs/1904.01038 (2019) - [i5]Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli:
wav2vec: Unsupervised Pre-training for Speech Recognition. CoRR abs/1904.05862 (2019) - [i4]Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov:
Facebook FAIR's WMT19 News Translation Task Submission. CoRR abs/1907.06616 (2019) - [i3]Alexei Baevski, Steffen Schneider, Michael Auli:
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations. CoRR abs/1910.05453 (2019) - [i2]Alexei Baevski, Michael Auli, Abdelrahman Mohamed:
Effectiveness of self-supervised pre-training for speech recognition. CoRR abs/1911.03912 (2019) - 2018
- [i1]Alexei Baevski, Michael Auli:
Adaptive Input Representations for Neural Language Modeling. CoRR abs/1809.10853 (2018)
Coauthor Index
[j1] [c32] [c31] [c30] [c29] [i37] [i35] [i34] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i33] [i32] [i31] [i30] [i29] [i28] [i26] [i25] [i23] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i21] [i20] [i19] [i18] [i17] [i16] [c9] [c8] [i15] [i14] [i13] [i12] [i10] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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last updated on 2024-09-18 01:10 CEST by the dblp team
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