-
1
-
-
84905246043
-
-
ISMIR 2004: Audio Description Contest
-
ISMIR 2004: Audio Description Contest. http://ismir2004. net/genre contest/, 2004.
-
(2004)
-
-
-
2
-
-
0028392483
-
Learning long-term dependencies with gradient descent is difficult
-
Yoshua Bengio, Patrice Simard, and Paolo Frasconi. Learning long-term dependencies with gradient descent is difficult. IEEE Transactions on Neural Networks, 5(2):157-166, 1994.
-
(1994)
IEEE Transactions on Neural Networks
, vol.5
, Issue.2
, pp. 157-166
-
-
Bengio, Y.1
Simard, P.2
Frasconi, P.3
-
3
-
-
84857819132
-
Theano: A CPU and GPU math expression compiler
-
June. Oral Presentation
-
James Bergstra, Olivier Breuleux, Fré dé ric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Turian, David Warde-Farley, and Yoshua Bengio. Theano: a CPU and GPU math expression compiler. In Proceedings of the Python for Scientific Computing Conference (SciPy), June 2010. Oral Presentation.
-
(2010)
Proceedings of the Python for Scientific Computing Conference (SciPy)
-
-
Bergstra, J.1
Breuleux, O.2
Bastien, F.3
Lamblin, P.4
Pascanu, R.5
Desjardins, G.6
Turian, J.7
Warde-Farley, D.8
Bengio, Y.9
-
4
-
-
33751531805
-
Aggregate features and AdaBoost for music classification
-
James Bergstra, Norman Casagrande, Dumitru Erhan, Douglas Eck, and Balazs Ké gl. Aggregate features and AdaBoost for music classification. Machine Learning, 65(2-3):473-484, 2006.
-
(2006)
Machine Learning
, vol.65
, Issue.2-3
, pp. 473-484
-
-
Bergstra, J.1
Casagrande, N.2
Erhan, D.3
Eck, D.4
Kégl, B.5
-
5
-
-
84873599467
-
Scalable genre and tag prediction with spectral covariance
-
James Bergstra, Michael I Mandel, and Douglas Eck. Scalable genre and tag prediction with spectral covariance. In ISMIR, pages 507-512, 2010.
-
(2010)
ISMIR
, pp. 507-512
-
-
Bergstra, J.1
Mandel, M.I.2
Eck, D.3
-
7
-
-
84890527827
-
Improving deep neural networks for LVCSR using rectified linear units and dropout
-
George E Dahl, Tara N Sainath, and Geoffrey E Hinton. Improving deep neural networks for LVCSR using rectified linear units and dropout. In Proc. ICASSP, 2013.
-
(2013)
Proc. ICASSP
-
-
Dahl, G.E.1
Sainath, T.N.2
Hinton, G.E.3
-
9
-
-
84862294866
-
Deep sparse rectifier networks
-
Xavier Glorot, Antoine Bordes, and Yoshua Bengio. Deep sparse rectifier networks. In Proceedings of the 14th International Conference on Artificial Intelligence and Statistics. JMLR W&CP Volume, volume 15, pages 315-323, 2011.
-
(2011)
Proceedings of the 14th International Conference on Artificial Intelligence and Statistics. JMLR W&CP
, vol.15
, pp. 315-323
-
-
Glorot, X.1
Bordes, A.2
Bengio, Y.3
-
10
-
-
84873584268
-
Learning features from music audio with deep belief networks
-
Utrecht, The Netherlands
-
Philippe Hamel and Douglas Eck. Learning features from music audio with deep belief networks. In ISMIR, pages 339-344. Utrecht, The Netherlands, 2010.
-
(2010)
ISMIR
, pp. 339-344
-
-
Hamel, P.1
Eck, D.2
-
11
-
-
84864146684
-
Temporal pooling and multiscale learning for automatic annotation and ranking of music audio
-
Philippe Hamel, Simon Lemieux, Yoshua Bengio, and Douglas Eck. Temporal pooling and multiscale learning for automatic annotation and ranking of music audio. In ISMIR, pages 729-734, 2011.
-
(2011)
ISMIR
, pp. 729-734
-
-
Hamel, P.1
Lemieux, S.2
Bengio, Y.3
Eck, D.4
-
12
-
-
84864122549
-
Unsupervised learning of sparse features for scalable audio classification
-
Mikael Henaff, Kevin Jarrett, Koray Kavukcuoglu, and Yann LeCun. Unsupervised learning of sparse features for scalable audio classification. In ISMIR, pages 681-686, 2011.
-
(2011)
ISMIR
, pp. 681-686
-
-
Henaff, M.1
Jarrett, K.2
Kavukcuoglu, K.3
Lecun, Y.4
-
13
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
Geoffrey E Hinton, Simon Osindero, and Yee-Whye Teh. A fast learning algorithm for deep belief nets. Neural computation, 18(7):1527-1554, 2006.
-
(2006)
Neural Computation
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.-W.3
-
14
-
-
84867720412
-
-
Technical report, University of Toronto
-
Geoffrey E Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R Salakhutdinov. Improving neural networks by preventing co-adaptation of feature detectors. Technical report, University of Toronto, 2012.
-
(2012)
Improving Neural Networks by Preventing Co-adaptation of Feature Detectors
-
-
Hinton, G.E.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.R.5
-
17
-
-
71149119164
-
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
-
ACM
-
Honglak Lee, Roger Grosse, Rajesh Ranganath, and Andrew Y Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In Proceedings of the 26th Annual International Conference on Machine Learning, pages 609-616. ACM, 2009.
-
(2009)
Proceedings of the 26th Annual International Conference on Machine Learning
, pp. 609-616
-
-
Lee, H.1
Grosse, R.2
Ranganath, R.3
Ng, A.Y.4
-
18
-
-
77956541496
-
Deep learning via Hessian-Free optimization
-
James Martens. Deep learning via Hessian-Free optimization. In Proc. ICML, pages 735-742, 2010.
-
(2010)
Proc. ICML
, pp. 735-742
-
-
Martens, J.1
-
19
-
-
80053451847
-
Learning recurrent neural networks with hessian-free optimization
-
James Martens and Ilya Sutskever. Learning recurrent neural networks with hessian-free optimization. In Proc. ICML, pages 1033-1040, 2011.
-
(2011)
Proc. ICML
, pp. 1033-1040
-
-
Martens, J.1
Sutskever, I.2
-
22
-
-
84870497334
-
An analysis of the GTZAN music genre dataset
-
New York, NY, USA,. ACM
-
Bob L. Sturm. An analysis of the GTZAN music genre dataset. In Proceedings of the second international ACM workshop on Music Information Retrieval with usercentered and multimodal strategies, MIRUM '12, pages 7-12, New York, NY, USA, 2012. ACM.
-
(2012)
Proceedings of the Second International ACM Workshop on Music Information Retrieval with Usercentered and Multimodal Strategies, MIRUM '12
, pp. 7-12
-
-
Sturm, B.L.1
|