Tomas Mikolov
Tomas Mikolov
Senior Researcher, CIIRC CTU
Verified email at
Cited by
Cited by
Distributed representations of words and phrases and their compositionality
T Mikolov, I Sutskever, K Chen, GS Corrado, J Dean
Neural information processing systems, 2013
Efficient estimation of word representations in vector space
T Mikolov, K Chen, G Corrado, J Dean
arXiv preprint arXiv:1301.3781, 2013
Distributed representations of sentences and documents
Q Le, T Mikolov
International conference on machine learning, 1188-1196, 2014
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
Recurrent neural network based language model.
T Mikolov, M Karafiát, L Burget, J Cernocký, S Khudanpur
Interspeech 2 (3), 1045-1048, 2010
On the difficulty of training recurrent neural networks
R Pascanu, T Mikolov, Y Bengio
International conference on machine learning, 1310-1318, 2013
Bag of tricks for efficient text classification
A Joulin, E Grave, P Bojanowski, T Mikolov
arXiv preprint arXiv:1607.01759, 2016
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
Devise: A deep visual-semantic embedding model
A Frome, GS Corrado, J Shlens, S Bengio, J Dean, MA Ranzato, ...
Advances in neural information processing systems 26, 2013
Exploiting similarities among languages for machine translation
T Mikolov, QV Le, I Sutskever
arXiv preprint arXiv:1309.4168, 2013
Learning word vectors for 157 languages
E Grave, P Bojanowski, P Gupta, A Joulin, T Mikolov
arXiv preprint arXiv:1802.06893, 2018
Advances in pre-training distributed word representations
T Mikolov, E Grave, P Bojanowski, C Puhrsch, A Joulin
arXiv preprint arXiv:1712.09405, 2017
Extensions of recurrent neural network language model
T Mikolov, S Kombrink, L Burget, J Černocký, S Khudanpur
2011 IEEE international conference on acoustics, speech and signal …, 2011
Fasttext. zip: Compressing text classification models
A Joulin, E Grave, P Bojanowski, M Douze, H Jégou, T Mikolov
arXiv preprint arXiv:1612.03651, 2016
Towards ai-complete question answering: A set of prerequisite toy tasks
J Weston, A Bordes, S Chopra, AM Rush, B Van Merriënboer, A Joulin, ...
arXiv preprint arXiv:1502.05698, 2015
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
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
Statistical Language Models Based on Neural Networks
T Mikolov
Ph. D. thesis, Brno University of Technology, 2012
Context dependent recurrent neural network language model
T Mikolov, G Zweig
2012 IEEE Spoken Language Technology Workshop (SLT), 234-239, 2012
Understanding the exploding gradient problem
R Pascanu, T Mikolov, Y Bengio
CoRR, abs/1211.5063 2 (417), 1, 2012
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