Tomas Mikolov
Tomas Mikolov
Research scientist, Facebook
Verified email at fb.com
TitleCited byYear
Distributed representations of words and phrases and their compositionality
T Mikolov, I Sutskever, K Chen, GS Corrado, J Dean
Neural information processing systems, 2013
146922013
Efficient estimation of word representations in vector space
T Mikolov, K Chen, G Corrado, J Dean
arXiv preprint arXiv:1301.3781, 2013
119172013
Distributed representations of sentences and documents
Q Le, T Mikolov
International conference on machine learning, 1188-1196, 2014
43132014
Recurrent neural network based language model
T Mikolov, M Karafiįt, L Burget, J Černockż, S Khudanpur
Eleventh annual conference of the international speech communication association, 2010
33052010
Linguistic regularities in continuous space word representations
T Mikolov, W Yih, G Zweig
Proceedings of the 2013 Conference of the North American Chapter of the …, 2013
22472013
On the difficulty of training recurrent neural networks
R Pascanu, T Mikolov, Y Bengio
International conference on machine learning, 1310-1318, 2013
21202013
Enriching word vectors with subword information
P Bojanowski, E Grave, A Joulin, T Mikolov
Transactions of the Association for Computational Linguistics 5, 135-146, 2017
19022017
Devise: A deep visual-semantic embedding model
A Frome, GS Corrado, J Shlens, S Bengio, J Dean, T Mikolov
Advances in neural information processing systems, 2121-2129, 2013
11292013
Bag of tricks for efficient text classification
A Joulin, E Grave, P Bojanowski, T Mikolov
arXiv preprint arXiv:1607.01759, 2016
10762016
Extensions of recurrent neural network language model
T Mikolov, S Kombrink, L Burget, J Černockż, S Khudanpur
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
7882011
Extensions of recurrent neural network language model
T Mikolov, S Kombrink, L Burget, J Černockż, S Khudanpur
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
7802011
Exploiting similarities among languages for machine translation
T Mikolov, QV Le, I Sutskever
arXiv preprint arXiv:1309.4168, 2013
7302013
Statistical Language Models Based on Neural Networks
T Mikolov
Ph. D. thesis, Brno University of Technology, 2012
5572012
Towards ai-complete question answering: A set of prerequisite toy tasks
J Weston, A Bordes, S Chopra, AM Rush, B van Merriėnboer, A Joulin, ...
arXiv preprint arXiv:1502.05698, 2015
5422015
One billion word benchmark for measuring progress in statistical language modeling
C Chelba, T Mikolov, M Schuster, Q Ge, T Brants, P Koehn, T Robinson
arXiv preprint arXiv:1312.3005, 2013
4292013
Zero-shot learning by convex combination of semantic embeddings
M Norouzi, T Mikolov, S Bengio, Y Singer, J Shlens, A Frome, GS Corrado, ...
arXiv preprint arXiv:1312.5650, 2013
4102013
Context dependent recurrent neural network language model
T Mikolov, G Zweig
2012 IEEE Spoken Language Technology Workshop (SLT), 234-239, 2012
3882012
Strategies for training large scale neural network language models
T Mikolov, A Deoras, D Povey, L Burget, J Černockż
2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 196-201, 2011
3532011
Empirical evaluation and combination of advanced language modeling techniques
T Mikolov, A Deoras, S Kombrink, L Burget, J Černockż
Twelfth Annual Conference of the International Speech Communication Association, 2011
2582011
Rnnlm-recurrent neural network language modeling toolkit
T Mikolov, S Kombrink, A Deoras, L Burget, J Cernocky
Proc. of the 2011 ASRU Workshop, 196-201, 2011
2562011
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