| Libri-light: A benchmark for asr with limited or no supervision J Kahn, M Riviere, W Zheng, E Kharitonov, Q Xu, PE Mazaré, J Karadayi, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 159 | 2020 |
| End-to-end asr: from supervised to semi-supervised learning with modern architectures G Synnaeve, Q Xu, J Kahn, T Likhomanenko, E Grave, V Pratap, A Sriram, ... arXiv preprint arXiv:1911.08460, 2019 | 141 | 2019 |
| Beyond english-centric multilingual machine translation A Fan, S Bhosale, H Schwenk, Z Ma, A El-Kishky, S Goyal, M Baines, ... Journal of Machine Learning Research 22 (107), 1-48, 2021 | 118 | 2021 |
| Wav2letter++: A fast open-source speech recognition system V Pratap, A Hannun, Q Xu, J Cai, J Kahn, G Synnaeve, V Liptchinsky, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 87 | 2019 |
| Fully convolutional speech recognition N Zeghidour, Q Xu, V Liptchinsky, N Usunier, G Synnaeve, R Collobert arXiv preprint arXiv:1812.06864, 2018 | 81 | 2018 |
| Self-supervised pretraining of visual features in the wild P Goyal, M Caron, B Lefaudeux, M Xu, P Wang, V Pai, M Singh, ... arXiv preprint arXiv:2103.01988, 2021 | 79 | 2021 |
| Letter-based speech recognition with gated convnets V Liptchinsky, G Synnaeve, R Collobert arXiv preprint arXiv:1712.09444, 2017 | 67 | 2017 |
| wav2letter++: The fastest open-source speech recognition system V Pratap, A Hannun, Q Xu, J Cai, J Kahn, G Synnaeve, V Liptchinsky, ... arXiv preprint arXiv:1812.07625, 2018 | 62 | 2018 |
| Massively multilingual asr: 50 languages, 1 model, 1 billion parameters V Pratap, A Sriram, P Tomasello, A Hannun, V Liptchinsky, G Synnaeve, ... arXiv preprint arXiv:2007.03001, 2020 | 53 | 2020 |
| Scaling up online speech recognition using convnets V Pratap, Q Xu, J Kahn, G Avidov, T Likhomanenko, A Hannun, ... arXiv preprint arXiv:2001.09727, 2020 | 29 | 2020 |
| A novel approach to modeling context-aware and social collaboration processes V Liptchinsky, R Khazankin, HL Truong, S Dustdar International Conference on Advanced Information Systems Engineering, 565-580, 2012 | 27 | 2012 |
| To reverse the gradient or not: An empirical comparison of adversarial and multi-task learning in speech recognition Y Adi, N Zeghidour, R Collobert, N Usunier, V Liptchinsky, G Synnaeve ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 26 | 2019 |
| On modeling context-aware social collaboration processes V Liptchinsky, R Khazankin, S Schulte, B Satzger, HL Truong, S Dustdar Information Systems 43, 66-82, 2014 | 18 | 2014 |
| Fairscale: A general purpose modular pytorch library for high performance and large scale training M Baines, S Bhosale, V Caggiano, N Goyal, S Goyal, M Ott, B Lefaudeux, ... | 16 | 2021 |
| Expressive languages for selecting groups from graph-structured data V Liptchinsky, B Satzger, R Zabolotnyi, S Dustdar Proceedings of the 22nd international conference on World Wide Web, 761-770, 2013 | 11 | 2013 |
| Statelets: Coordination of social collaboration processes V Liptchinsky, R Khazankin, HL Truong, S Dustdar International Conference on Coordination Languages and Models, 1-16, 2012 | 10 | 2012 |
| based speech recognition with gated ConvNets V Liptchinsky, G Synnaeve, R Collobert arXiv preprint arXiv:1712.09444, 2017 | 9 | 2017 |
| Large scale weakly and semi-supervised learning for low-resource video ASR K Singh, V Manohar, A Xiao, S Edunov, R Girshick, V Liptchinsky, ... arXiv preprint arXiv:2005.07850, 2020 | 7 | 2020 |
| Crowdstore: a crowdsourcing graph database V Liptchinsky, B Satzger, S Schulte, S Dustdar International Conference on Collaborative Computing: Networking …, 2015 | 2 | 2015 |
| Flashlight: Enabling innovation in tools for machine learning J Kahn, V Pratap, T Likhomanenko, Q Xu, A Hannun, J Cai, P Tomasello, ... arXiv preprint arXiv:2201.12465, 2022 | 1 | 2022 |
Gabriel SynnaeveResearch scientist at Facebook AI ResearchПодтвержден адрес электронной почты в домене fb.com
