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Vitaliy Liptchinsky
Vitaliy Liptchinsky
Facebook AI Research
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Cited by
Year
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
6872021
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
5802020
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
2592019
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
2542021
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
2272019
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
1482020
Fully convolutional speech recognition
N Zeghidour, Q Xu, V Liptchinsky, N Usunier, G Synnaeve, R Collobert
arXiv preprint arXiv:1812.06864, 2018
1132018
Letter-based speech recognition with gated convnets
V Liptchinsky, G Synnaeve, R Collobert
arXiv preprint arXiv:1712.09444, 1-13, 2017
732017
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, ...
452021
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
432019
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
422020
A novel approach to modeling context-aware and social collaboration processes
V Liptchinsky, R Khazankin, HL Truong, S Dustdar
Advanced Information Systems Engineering: 24th International Conference …, 2012
272012
Flashlight: Enabling innovation in tools for machine learning
JD Kahn, V Pratap, T Likhomanenko, Q Xu, A Hannun, J Cai, P Tomasello, ...
International Conference on Machine Learning, 10557-10574, 2022
202022
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
202014
based speech recognition with gated ConvNets
V Liptchinsky, G Synnaeve, R Collobert
arXiv preprint arXiv:1712.09444, 2017
122017
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
102013
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
92020
Statelets: Coordination of social collaboration processes
V Liptchinsky, R Khazankin, HL Truong, S Dustdar
Coordination Models and Languages: 14th International Conference …, 2012
92012
Crowdstore: a crowdsourcing graph database
V Liptchinsky, B Satzger, S Schulte, S Dustdar
Collaborative Computing: Networking, Applications, and Worksharing: 11th …, 2016
22016
A novel programming model for social and context aware computing
V Liptchinsky, HL Truong, S Dustdar
12011
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