-
1
-
-
0142166851
-
A neural probabilistic language model
-
Yoshua Bengio, Rejean Ducharme, Pascal Vincent, and Christian Jauvin. A neural probabilistic language model. Journal of Machine Learning Research, 3:1137-1155, 2003
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1137-1155
-
-
Bengio, Y.1
Ducharme, R.2
Vincent, P.3
Jauvin, C.4
-
2
-
-
0142161369
-
Quick training of probabilistic neural nets by importance sampling
-
Yoshua Bengio and Jean-Sébastien Senécal. Quick training of probabilistic neural nets by importance sampling. In AISTATS'03, 2003
-
(2003)
AISTATS'03
-
-
Bengio, Y.1
Senécal, J.-S.2
-
3
-
-
42549142788
-
Adaptive importance sampling to accelerate training of a neural probabilistic language model
-
Yoshua Bengio and Jean-Sébastien Senécal. Adaptive importance sampling to accelerate training of a neural probabilistic language model. IEEE Transactions on Neural Networks, 19(4):713-722, 2008.
-
(2008)
IEEE Transactions on Neural Networks
, vol.19
, Issue.4
, pp. 713-722
-
-
Bengio, Y.1
Senécal, J.-S.2
-
5
-
-
80052250414
-
Adaptive subgradient methods for online learning and stochastic optimization
-
John Duchi, Elad Hazan, and Yoram Singer. Adaptive subgradient methods for online learning and stochastic optimization. Journal of Machine Learning Research, 12:2121-2159, 2010.
-
(2010)
Journal of Machine Learning Research
, vol.12
, pp. 2121-2159
-
-
Duchi, J.1
Hazan, E.2
Singer, Y.3
-
6
-
-
84857892556
-
Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics
-
M.U. Gutmann and A. Hyvärinen. Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics. Journal of Machine Learning Research, 13:307-361, 2012.
-
(2012)
Journal of Machine Learning Research
, vol.13
, pp. 307-361
-
-
Gutmann, M.U.1
Hyvärinen, A.2
-
7
-
-
0000679216
-
Distributional structure
-
Zellig S Harris. Distributional structure. Word, 1954.
-
(1954)
Word
-
-
Harris, Z.S.1
-
8
-
-
84878180089
-
Improving word representations via global context and multiple word prototypes
-
Eric H Huang, Richard Socher, Christopher D Manning, and Andrew Y Ng. Improving word representations via global context and multiple word prototypes. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, pages 873-882, 2012.
-
(2012)
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics
, pp. 873-882
-
-
Huang, E.H.1
Socher, R.2
Manning, C.D.3
Ng, A.Y.4
-
9
-
-
79959829092
-
Recurrent neural network based language model
-
T. Mikolov, M. Karafiát, L. Burget, J. Černocký, and S. Khudanpur. Recurrent neural network based language model. In Eleventh Annual Conference of the International Speech Communication Association, 2010.
-
(2010)
Eleventh Annual Conference of the International Speech Communication Association
-
-
Mikolov, T.1
Karafiát, M.2
Burget, L.3
Černocký, J.4
Khudanpur, S.5
-
11
-
-
84926179397
-
Linguistic regularities in continuous space word representations
-
Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. Linguistic regularities in continuous space word representations. Proceedings of NAACL-HLT, 2013.
-
(2013)
Proceedings of NAACL-HLT
-
-
Mikolov, T.1
Yih, W.-T.2
Zweig, G.3
-
15
-
-
34547997987
-
Hierarchical probabilistic neural network language model
-
Frederic Morin and Yoshua Bengio. Hierarchical probabilistic neural network language model. In AISTATS' 05, pages 246-252, 2005.
-
(2005)
AISTATS' 05
, pp. 246-252
-
-
Morin, F.1
Bengio, Y.2
-
19
-
-
84867132941
-
The microsoft research sentence completion challenge
-
Microsoft Research
-
G. Zweig and C.J.C. Burges. The Microsoft Research Sentence Completion Challenge. Technical Report MSR-TR-2011-129, Microsoft Research, 2011.
-
(2011)
Technical Report MSR-TR-2011-129
-
-
Zweig, G.1
Burges, C.J.C.2
|