-
1
-
-
84930630277
-
Deep learning
-
Le Cun Y., Bengio Y, Hinton G. 2015 Deep learning. Nature 521, 436-444. (doi:10.1038/nature14539)
-
(2015)
Nature
, vol.521
, pp. 436-444
-
-
Le Cun, Y.1
Bengio, Y.2
Hinton, G.3
-
2
-
-
84876231242
-
ImageNet classification with deep convolutional neural networks
-
Krizhevsky A, Sutskever I, Hinton G. 2012 ImageNet classification with deep convolutional neural networks. In Proc. 26th Annual Conf. on Neural Information Processing Systems, Lake Tahoe, NV, 3-6 December 2012, pp. 1090-1098.
-
(2012)
Proc. 26th Annual Conf. On Neural Information Processing Systems, Lake Tahoe, NV, 3-6 December 2012
, pp. 1090-1098
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.3
-
3
-
-
85032751458
-
Deep neural networks for acoustic modeling in speech recognition
-
Hinton G et al. 2012 Deep neural networks for acoustic modeling in speech recognition. IEEE Signal Process. Mag. 29, 82-97. (doi:10.1109/MSp.2012.2205597)
-
(2012)
IEEE Signal Process. Mag
, vol.29
, pp. 82-97
-
-
Hinton, G.1
-
4
-
-
84902462761
-
Deep learning of the tissue regulated splicing code
-
Leung MK, Xiong HY, Lee L.J., Frey BJ. 2014 Deep learning of the tissue regulated splicing code. Bioinformatics 30, i121-i129. (doi:10.1093/bioinformatics/btu277)
-
(2014)
Bioinformatics
, vol.30
, pp. i121-i129
-
-
Leung, M.K.1
Xiong, H.Y.2
Lee, L.J.3
Frey, B.J.4
-
5
-
-
84928547704
-
Sequence to sequence learning with neural networks
-
Sutskever I, Vinyals O, Le QV 2014 Sequence to sequence learning with neural networks. In Proc. 28th Annual Conf. on Neural Information Processing Systems, Montreal, Canada, 8-13 December 2014.
-
(2014)
Proc. 28th Annual Conf. On Neural Information Processing Systems, Montreal, Canada, 8-13 December 2014
-
-
Sutskever, I.1
Vinyals, O.2
Le, Q.V.3
-
6
-
-
84904482232
-
-
Anselmi F, Leibo J, Rosasco L., Mutch J, Tacchetti A, Poggio T. 2013 Unsupervised learning of invariant representations in hierarchical architectures. (http://arxiv.org/abs/1311.4158)
-
(2013)
Unsupervised Learning of Invariant Representations in Hierarchical Architectures
-
-
Anselmi, F.1
Leibo, J.2
Rosasco, L.3
Mutch, J.4
Tacchetti, A.5
Poggio, T.6
-
7
-
-
0346727379
-
Ridglets: A key to high-dimensional intermittency?
-
Candès E., Donoho D. 1999 Ridglets: a key to high-dimensional intermittency? Phil. Trans. R. Soc. A 357, 2495-2509. (doi:10.1098/rsta.1999.0444)
-
(1999)
Phil. Trans. R. Soc. A
, vol.357
, pp. 2495-2509
-
-
Candès, E.1
Donoho, D.2
-
8
-
-
0000494466
-
Handwritten digit recognition with a back-propagation network
-
(ed. DS Touretzky) San Francisco, CA: Morgan Kaufmann
-
Le Cun Y., Boser B, Denker J., Henderson D, Howard R, Hubbard W., Jackelt L. 1990 Handwritten digit recognition with a back-propagation network. In Advances in neural information processing systems 2(ed. DS Touretzky), pp. 396-404. San Francisco, CA: Morgan Kaufmann.
-
(1990)
Advances in Neural Information Processing Systems 2
, pp. 396-404
-
-
Le Cun, Y.1
Boser, B.2
Denker, J.3
Henderson, D.4
Howard, R.5
Hubbard, W.6
Jackelt, L.7
-
9
-
-
84864324516
-
Group invariant scattering
-
Mallat S. 2012 Group invariant scattering. Commun. Pure Appl. Math. 65, 1331-1398. (doi:10.1002/cpa.21413)
-
(2012)
Commun. Pure Appl. Math
, vol.65
, pp. 1331-1398
-
-
Mallat, S.1
-
10
-
-
84906351367
-
Analyzing the performance of multilayer neural networks for object recognition
-
(eds D Fleet, T Pajdla, B Schiele, T Tuytelaars). Lecture Notes in Computer Science Cham, Switzerland: Springer
-
Agrawal A, Girshick R, Malik J. 2014 Analyzing the performance of multilayer neural networks for object recognition. In Computer vision - ECCV 2014(eds D Fleet, T Pajdla, B Schiele, T Tuytelaars). Lecture Notes in Computer Science, Vol. 8695, pp. 329-344. Cham, Switzerland: Springer. (doi:10.1007/978-3-319-10584-0-22)
-
(2014)
Computer Vision - ECCV 2014
, vol.8695
, pp. 329-344
-
-
Agrawal, A.1
Girshick, R.2
Malik, J.3
-
12
-
-
85083950271
-
Unsupervised representation learning with deep convolutional generative adversarial networks
-
San Juan, Puerto Rico, 2-4 May 2016
-
Radford A, Metz L, Chintala S. 2016 Unsupervised representation learning with deep convolutional generative adversarial networks. In 4th Int. Conf. on Learning Representations (ICLR 2016), San Juan, Puerto Rico, 2-4 May 2016.
-
(2016)
4th Int. Conf. On Learning Representations (ICLR 2016)
-
-
Radford, A.1
Metz, L.2
Chintala, S.3
-
13
-
-
34047272330
-
Discrimination of speech from nonspeech based on multiscale spectro-temporal modulations
-
Mesgarani M, Slaney M, Shamma S. 2006 Discrimination of speech from nonspeech based on multiscale spectro-temporal modulations. IEEE Trans. Audio Speech Lang. Process. 14, 920-930. (doi:10.1109/TSA.2005.858055)
-
(2006)
IEEE Trans. Audio Speech Lang. Process
, vol.14
, pp. 920-930
-
-
Mesgarani, M.1
Slaney, M.2
Shamma, S.3
-
14
-
-
3042535216
-
SIFT: Scale invariant feature transform
-
Lowe DG. 2004 SIFT: scale invariant feature transform. J. Comput. Vision 60, 91-110.
-
(2004)
J. Comput. Vision
, vol.60
, pp. 91-110
-
-
Lowe, D.G.1
-
17
-
-
85083953343
-
Intriguing properties of neural networks
-
Banff, Canada, 14-16 April 2014
-
Szegedy C, Erhan D, Zaremba W., Sutskever I, Goodfellow I, Bruna J., Fergus R. 2014 Intriguing properties of neural networks. In Int. Conf. on Learning Representations (ICLR 2014), Banff, Canada, 14-16 April 2014.
-
(2014)
Int. Conf. On Learning Representations (ICLR 2014)
-
-
Szegedy, C.1
Erhan, D.2
Zaremba, W.3
Sutskever, I.4
Goodfellow, I.5
Bruna, J.6
Fergus, R.7
-
19
-
-
84879877798
-
Invariant scattering convolution networks
-
Bruna J, Mallat S. 2013 Invariant scattering convolution networks. IEEE Trans. PAMI 35, 1872-1886. (doi:10.1109/TPAMI.2012.230)
-
(2013)
IEEE Trans. PAMI
, vol.35
, pp. 1872-1886
-
-
Bruna, J.1
Mallat, S.2
-
20
-
-
84896734479
-
Deep scattering spectrum
-
Andèn J., Mallat S. 2014 Deep scattering spectrum. IEEE Trans. Signal Process. 62, 4114-4128. (doi:10.1109/TSp.2014.2326991)
-
(2014)
IEEE Trans. Signal Process
, vol.62
, pp. 4114-4128
-
-
Andèn, J.1
Mallat, S.2
-
21
-
-
84887372433
-
Rotation, scaling and deformation invariant scattering for texture discrimination
-
Sifre L, Mallat S. 2013 Rotation, scaling and deformation invariant scattering for texture discrimination. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, pp. 1233-1240. (doi:10.1109/CVPR.2013.163)
-
(2013)
Proc. IEEE Conf. On Computer Vision and Pattern Recognition
, pp. 1233-1240
-
-
Sifre, L.1
Mallat, S.2
-
23
-
-
84922511550
-
Intermittent process analysis with scattering moments
-
Bruna J, Mallat S, Bacry E., Muzy JF. 2015 Intermittent process analysis with scattering moments. Ann. Stat. 43, 323-351. (doi:10.1214/14-AOS1276)
-
(2015)
Ann. Stat
, vol.43
, pp. 323-351
-
-
Bruna, J.1
Mallat, S.2
Bacry, E.3
Muzy, J.F.4
-
25
-
-
84965143571
-
Deep generative image models using a laplacian pyramid of adversarial networks
-
Denton E, Chintala S, Szlam A., Fergus R. 2015 Deep generative image models using a Laplacian pyramid of adversarial networks. In Proc. 29th Annual Conf. on Neural Information Processing Systems, Montreal, Canada, 7-12 December 2015.
-
(2015)
Proc. 29th Annual Conf. On Neural Information Processing Systems, Montreal, Canada, 7-12 December 2015
-
-
Denton, E.1
Chintala, S.2
Szlam, A.3
Fergus, R.4
-
26
-
-
77950842330
-
-
Paris, France: Éditions de l'École Polytechnique
-
Petitot J. 2008 Neurogémétrie de la vision. Paris, France: Éditions de l'École Polytechnique.
-
(2008)
Neurogémétrie de la Vision
-
-
Petitot, J.1
-
27
-
-
84960933893
-
Joint time-frequency scattering for audio classification
-
Andèn J., Lostanlen V, Mallat S. 2015 Joint time-frequency scattering for audio classification. In Proc. IEEE Int. Workshop on Machine Learning for Signal Processing, Boston, MA, 17-20 September 2015. (doi:10.1109/MLSp.2015.7324385)
-
(2015)
Proc. IEEE Int. Workshop on Machine Learning for Signal Processing, Boston, MA, 17-20 September 2015
-
-
Andèn, J.1
Lostanlen, V.2
Mallat, S.3
-
28
-
-
85020717798
-
Learning stable group invariant representations with convolutional networks
-
Banff, Canada, 14-16 April 2014
-
Bruna J, Szlam A, Le Cun Y. 2014 Learning stable group invariant representations with convolutional networks. In Int. Conf. on Learning Representations (ICLR 2014), Banff, Canada, 14-16 April 2014.
-
(2014)
Int. Conf. On Learning Representations (ICLR 2014)
-
-
Bruna, J.1
Szlam, A.2
Le Cun, Y.3
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