-
1
-
-
84867135575
-
Building high-level features using large scale unsupervised learning
-
Q. Le, M. Ranzato, R. Monga, M. Devin, G. Corrado, K. Chen, J. Dean, and A. Ng. Building high-level features using large scale unsupervised learning. In Proceedings ICML, 2012.
-
(2012)
Proceedings ICML
-
-
Le, Q.1
Ranzato, M.2
Monga, R.3
Devin, M.4
Corrado, G.5
Chen, K.6
Dean, J.7
Ng, A.8
-
2
-
-
84877724347
-
Multimodal learning with deep Boltzmann machines
-
N. Srivastava and R. Salakhutdinov. Multimodal learning with deep Boltzmann machines. In NIPS, 2012.
-
(2012)
NIPS
-
-
Srivastava, N.1
Salakhutdinov, R.2
-
4
-
-
35348818718
-
Learning multiple layers of representations
-
G. Hinton. Learning multiple layers of representations. Trends in Cognitive Sciences, 11:428-434, 2007.
-
(2007)
Trends in Cognitive Sciences
, vol.11
, pp. 428-434
-
-
Hinton, G.1
-
5
-
-
33745805403
-
A fast algorithm for deep belief nets
-
G. Hinton, S. Osindero, and Y. Teh. A fast algorithm for deep belief nets. Neur. Comp., 18(7), 2006.
-
(2006)
Neur. Comp.
, vol.18
, pp. 7
-
-
Hinton, G.1
Osindero, S.2
Teh, Y.3
-
6
-
-
78049389834
-
Probabilistic non-linear principal component analysis
-
N. Lawrence. Probabilistic non-linear principal component analysis. JMLR, 6:1783-1816, 2005.
-
(2005)
JMLR
, vol.6
, pp. 1783-1816
-
-
Lawrence, N.1
-
7
-
-
26244461684
-
Clustering with Bregman divergences
-
A. Banerjee, S. Merugu, I. Dhillon, and J. Ghosh. Clustering with Bregman divergences. J. Mach. Learn. Res., 6:1705-1749, 2005.
-
(2005)
J. Mach. Learn. Res.
, vol.6
, pp. 1705-1749
-
-
Banerjee, A.1
Merugu, S.2
Dhillon, I.3
Ghosh, J.4
-
8
-
-
33751379736
-
Image denoising via sparse and redundant representations over learned dictionaries
-
M. Elad and M. Aharon. Image denoising via sparse and redundant representations over learned dictionaries. IEEE Trans. on Image Processing, 15:3736-3745, 2006.
-
(2006)
IEEE Trans. on Image Processing
, vol.15
, pp. 3736-3745
-
-
Elad, M.1
Aharon, M.2
-
9
-
-
0028416938
-
Independent component analysis, a new concept?
-
P. Comon. Independent component analysis, a new concept? Signal Processing, 36(3):287-314, 1994.
-
(1994)
Signal Processing
, vol.36
, Issue.3
, pp. 287-314
-
-
Comon, P.1
-
10
-
-
84898964760
-
Dimensionality reduction by unsupervised regression
-
M. Carreira-Perpiñán and Z. Lu. dimensionality reduction by unsupervised regression. In CVPR, 2010.
-
(2010)
CVPR
-
-
Carreira-Perpiñán, M.1
Lu, Z.2
-
12
-
-
80053460450
-
Contractive auto-encoders: Explicit invariance during feature extraction
-
S. Rifai, P. Vincent, X. Muller, X. Glorot, and Y. Bengio. Contractive auto-encoders: Explicit invariance during feature extraction. In ICML, 2011.
-
(2011)
ICML
-
-
Rifai, S.1
Vincent, P.2
Muller, X.3
Glorot, X.4
Bengio, Y.5
-
13
-
-
80053450846
-
On autoencoders and score matching for energy based models
-
K. Swersky, M. Ranzato, D. Buchman, B. Marlin, and N. de Freitas. On autoencoders and score matching for energy based models. In Proceedings ICML, 2011.
-
(2011)
Proceedings ICML
-
-
Swersky, K.1
Ranzato, M.2
Buchman, D.3
Marlin, B.4
De Freitas, N.5
-
18
-
-
84867127869
-
A convex relaxation for weakly supervised classifiers
-
A. Joulin and F. Bach. A convex relaxation for weakly supervised classifiers. In Proc. ICML, 2012.
-
(2012)
Proc. ICML
-
-
Joulin, A.1
Bach, F.2
-
19
-
-
85162063413
-
Efficient optimization for discrimin. Latent class models
-
A. Joulin, F. Bach, and J. Ponce. Efficient optimization for discrimin. latent class models. In NIPS, 2010.
-
(2010)
NIPS
-
-
Joulin, A.1
Bach, F.2
Ponce, J.3
-
20
-
-
84898930423
-
Convex relaxations of latent variable training
-
Y. Guo and D. Schuurmans. Convex relaxations of latent variable training. In Proc. NIPS 20, 2007.
-
(2007)
Proc. NIPS
, pp. 20
-
-
Guo, Y.1
Schuurmans, D.2
-
21
-
-
85162074163
-
Transduction with matrix completion: Three birds with one stone
-
A. Goldberg, X. Zhu, B. Recht, J. Xu, and R. Nowak. Transduction with matrix completion: Three birds with one stone. In NIPS 23, 2010.
-
(2010)
NIPS
, vol.23
-
-
Goldberg, A.1
Zhu, X.2
Recht, B.3
Xu, J.4
Nowak, R.5
-
25
-
-
84873361882
-
Learning mixtures of spherical gaussians: Moment methods and spectral decompositions
-
D. Hsu and S. Kakade. Learning mixtures of spherical Gaussians: Moment methods and spectral decompositions. In Innovations in Theoretical Computer Science (ITCS), 2013.
-
(2013)
Innovations in Theoretical Computer Science (ITCS
-
-
Hsu, D.1
Kakade, S.2
-
26
-
-
78149334888
-
Large margin classification in infinite neural networks
-
Y. Cho and L. Saul. Large margin classification in infinite neural networks. Neural Comput., 22, 2010.
-
(2010)
Neural Comput.
, vol.22
-
-
Cho, Y.1
Saul, L.2
-
27
-
-
44049116681
-
Connectionist learning of belief networks
-
R. Neal. Connectionist learning of belief networks. Artificial Intelligence, 56(1):71-113, 1992.
-
(1992)
Artificial Intelligence
, vol.56
, Issue.1
, pp. 71-113
-
-
Neal, R.1
-
28
-
-
0015000439
-
Some results on Tchebycheffian spline functions
-
G. Kimeldorf and G. Wahba. Some results on Tchebycheffian spline functions. JMAA, 33:82-95, 1971.
-
(1971)
JMAA
, vol.33
, pp. 82-95
-
-
Kimeldorf, G.1
Wahba, G.2
-
29
-
-
0010442827
-
On the algorithmic implementation of multiclass kernel-based vector machines
-
K. Crammer and Y. Singer. On the algorithmic implementation of multiclass kernel-based vector machines. JMLR, pages 265-292, 2001.
-
(2001)
JMLR
, pp. 265-292
-
-
Crammer, K.1
Singer, Y.2
-
30
-
-
52949105710
-
Multilabel classification via calibrated label ranking
-
J. Fuernkranz, E. Huellermeier, E. Mencia, and K. Brinker. Multilabel classification via calibrated label ranking. Machine Learning, 73(2):133-153, 2008.
-
(2008)
Machine Learning
, vol.73
, Issue.2
, pp. 133-153
-
-
Fuernkranz, J.1
Huellermeier, E.2
Mencia, E.3
Brinker, K.4
-
31
-
-
84896061398
-
Adaptive large margin training for multilabel classification
-
Y. Guo and D. Schuurmans. Adaptive large margin training for multilabel classification. In AAAI, 2011.
-
(2011)
AAAI
-
-
Guo, Y.1
Schuurmans, D.2
-
35
-
-
80051762104
-
Distributed optimization and statistical learning via the alternating direction method of multipliers
-
S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein. Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundat. Trends in Mach. Learn., 3(1):1-123, 2010.
-
(2010)
Foundat. Trends in Mach. Learn.
, vol.3
, Issue.1
, pp. 1-123
-
-
Boyd, S.1
Parikh, N.2
Chu, E.3
Peleato, B.4
Eckstein, J.5
-
36
-
-
84867122544
-
A hybrid algorithm for convex semidefinite optimization
-
S. Laue. A hybrid algorithm for convex semidefinite optimization. In Proc. ICML, 2012.
-
(2012)
Proc ICML
-
-
Laue, S.1
-
37
-
-
34247849152
-
Training a support vector machine in the primal
-
O. Chapelle. Training a support vector machine in the primal. Neural Comput., 19(5):1155-1178, 2007.
-
(2007)
Neural Comput.
, vol.19
, Issue.5
, pp. 1155-1178
-
-
Chapelle, O.1
-
38
-
-
1942483137
-
Transductive inference for text classification using support vector machines
-
T. Joachims. Transductive inference for text classification using support vector machines. In ICML, 1999.
-
(1999)
ICML
-
-
Joachims, T.1
-
39
-
-
33750373672
-
Large scale semi-supervised linear SVMs
-
V. Sindhwani and S. Keerthi. Large scale semi-supervised linear SVMs. In SIGIR, 2006.
-
(2006)
SIGIR
-
-
Sindhwani, V.1
Keerthi, S.2
-
40
-
-
84898996075
-
-
http://olivier.chapelle.cc/ssl-book/benchmarks.html.
-
-
-
-
41
-
-
84898966280
-
-
http://archive.ics.uci.edu/ml/datasets.
-
-
-
-
42
-
-
84898966063
-
-
http://www.cs.toronto.edu/kriz/cifar.html.
-
-
-
|