-
1
-
-
0024774330
-
Neural networks and principal component analysis: Learning from examples without local minima
-
Baldi, P. and Hornik, K. Neural networks and principal component analysis: Learning from examples without local minima. Neural networks, 2(1):53-58, 1989.
-
(1989)
Neural Networks
, vol.2
, Issue.1
, pp. 53-58
-
-
Baldi, P.1
Hornik, K.2
-
2
-
-
84864049234
-
Analysis of representations for domain adaptation
-
Ben-David, S., Blitzer, J., Crammer, K., and Pereira, F. Analysis of representations for domain adaptation. NIPS, 19:137,2007.
-
(2007)
NIPS
, vol.19
, pp. 137
-
-
Ben-David, S.1
Blitzer, J.2
Crammer, K.3
Pereira, F.4
-
3
-
-
77956030389
-
A Theory of Learning from Different Domains
-
Ben-David, S., Blitzer, J., Crammer, K., Kulesza, A., Pereira, F., and Wortman, Jenn. A Theory of Learning from Different Domains. Machine Learning, 2009.
-
(2009)
Machine Learning
-
-
Ben-David, S.1
Blitzer, J.2
Crammer, K.3
Kulesza, A.4
Pereira, F.5
Wortman, J.6
-
4
-
-
84862288320
-
Theano: A CPU and GPU Math Expression Compiler
-
June
-
Bergstra, J., Breuleux, O., Bastien, F., Lamblin, P., Pascanu, R., Desjardins, G., Turian, J., Warde-Farley, D., and Bengio, Y. Theano: a CPU and GPU Math Expression Compiler. In SciPy, June 2010.
-
(2010)
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
-
6
-
-
80053342456
-
Domain adaptation with structural correspondence learning
-
Blitzer, J., McDonald, R., and Pereira, F. Domain adaptation with structural correspondence learning. In Proceedings of the 2006 Conference on EMNLP, pp. 120-128, 2006.
-
(2006)
Proceedings of the 2006 Conference on EMNLP
, pp. 120-128
-
-
Blitzer, J.1
McDonald, R.2
Pereira, F.3
-
7
-
-
79955702502
-
LIBSVM: A library for support vector machines
-
Chang, C.C. and Lin, C.J. LIBSVM: a library for support vector machines. ACM Transactions on IST, 2(3):27, 2011.
-
(2011)
ACM Transactions on IST
, vol.2
, Issue.3
, pp. 27
-
-
Chang, C.C.1
Lin, C.J.2
-
9
-
-
80053456516
-
Automatic Feature Decomposition for Single View Co-training
-
Chen, M., Weinberger, K.Q., and Chen, Y. Automatic Feature Decomposition for Single View Co-training. In ICML, 2011b.
-
(2011)
ICML
-
-
Chen, M.1
Weinberger, K.Q.2
Chen, Y.3
-
10
-
-
84860513476
-
Frustratingly Easy Domain Adaptation
-
Daume III, H. Frustratingly Easy Domain Adaptation. In ACL, 2007.
-
(2007)
ACL
-
-
Daume III, H.1
-
11
-
-
80053458350
-
Large-Scale Learning of Embeddings with Reconstruction Sampling
-
Dauphin Y., Glorot X., Bengio Y. Large-Scale Learning of Embeddings with Reconstruction Sampling. In ICML, 2011.
-
(2011)
ICML
-
-
Dauphin, Y.1
Glorot, X.2
Bengio, Y.3
-
12
-
-
80053443013
-
Domain adaptation for large-scale sentiment classification: A deep learning approach
-
Glorot, X., Bordes, A., and Bengio, Y. Domain adaptation for large-scale sentiment classification: A deep learning approach. In ICML, 2011.
-
(2011)
ICML
-
-
Glorot, X.1
Bordes, A.2
Bengio, Y.3
-
13
-
-
84864031047
-
Correcting Sample Selection Bias by Unlabeled Data
-
MIT Press
-
Huang, J., Smola, A.J., Gretton, A., Borgwardt, K. M., and Scholkopf, B. Correcting Sample Selection Bias by Unlabeled Data. In NIPS 19, pp. 601-608. MIT Press, 2007.
-
(2007)
NIPS
, vol.19
, pp. 601-608
-
-
Huang, J.1
Smola, A.J.2
Gretton, A.3
Borgwardt, K.M.4
Scholkopf, B.5
-
14
-
-
70450177775
-
Learning invariant features through topographic filter maps
-
IEEE
-
Kavukcuoglu, K., Ranzato, M.A., Fergus, R., and Le-Cun, Y. Learning invariant features through topographic filter maps. In CVPR 2009. IEEE Conference on, pp. 1605-1612. IEEE, 2009.
-
(2009)
CVPR 2009. IEEE Conference on
, pp. 1605-1612
-
-
Kavukcuoglu, K.1
Ranzato, M.A.2
Fergus, R.3
Le-Cun, Y.4
-
15
-
-
84863380535
-
Unsupervised Feature Learning for Audio Classification using Convolutional Deep Belief Networks
-
Lee, Honglak, Largman, Yan, Pham, Peter, and Ng, Andrew Y. Unsupervised Feature Learning for Audio Classification using Convolutional Deep Belief Networks. In NIPS. 2009.
-
(2009)
NIPS
-
-
Lee, H.1
Largman, Y.2
Pham, P.3
Ng, A.Y.4
-
16
-
-
40049107811
-
Evigan: A hidden variable model for integrating gene evidence for eukaryotic gene prediction
-
Liu, Qian, Mackey, Aaron, Roos, David, and Pereira, Fernando. Evigan: a hidden variable model for integrating gene evidence for eukaryotic gene prediction. Bioinformatics, 2008.
-
(2008)
Bioinformatics
-
-
Liu, Q.1
Mackey, A.2
Roos, D.3
Pereira, F.4
-
18
-
-
80053260732
-
Reranking and self-training for parser adaptation
-
McClosky, D., Charniak, E., and Johnson, M. Reranking and self-training for parser adaptation. In ACL, pp. 337-344, 2006.
-
(2006)
ACL
, pp. 337-344
-
-
McClosky, D.1
Charniak, E.2
Johnson, M.3
-
19
-
-
77956509090
-
Rectified linear units improve restricted boltzmann machines
-
Nair, V. and Hinton, G.E. Rectified linear units improve restricted boltzmann machines. In ICML 27, 2010.
-
(2010)
ICML
, vol.27
-
-
Nair, V.1
Hinton, G.E.2
-
20
-
-
80053460450
-
Contractive auto-encoders: Explicit invariance during feature extraction
-
Rifai, S., Vincent, P., Muller, X., Glorot, X., and Bengio, Y. 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
-
21
-
-
0022471098
-
Learning representations by back-propagating errors
-
Rumelhart, D.E., Hintont, G.E., and Williams, R.J. Learning representations by back-propagating errors. Nature, 323(6088): 533-536,1986.
-
(1986)
Nature
, vol.323
, Issue.6088
, pp. 533-536
-
-
Rumelhart, D.E.1
Hintont, G.E.2
Williams, R.J.3
-
22
-
-
78149318752
-
Adapting visual category models to new domains
-
Saenko, K., Kulis, B., Fritz, M., and Darrell, T. Adapting visual category models to new domains. Computer Vision-ECCV 2010, pp. 213-226, 2010.
-
(2010)
Computer Vision-ECCV 2010
, pp. 213-226
-
-
Saenko, K.1
Kulis, B.2
Fritz, M.3
Darrell, T.4
-
23
-
-
45549117987
-
Term-weighting approaches in automatic text retrieval
-
Salton, G. and Buckley, C. Term-weighting approaches in automatic text retrieval. Information processing & management, 24 (5):513-523, 1988.
-
(1988)
Information Processing & Management
, vol.24
, Issue.5
, pp. 513-523
-
-
Salton, G.1
Buckley, C.2
-
24
-
-
56449089103
-
Extracting and composing robust features with denoising autoencoders
-
Vincent, P., Larochelle, H., Bengio, Y, and Manzagol, P.A. Extracting and composing robust features with denoising autoencoders. In ICML, 2008.
-
(2008)
ICML
-
-
Vincent, P.1
Larochelle, H.2
Bengio, Y.3
Manzagol, P.A.4
-
25
-
-
71149087699
-
Feature hashing for large scale multitask learning
-
ACM
-
Weinberger, K.Q., Dasgupta, A., Langford, J., Smola, A., and Attenberg, J. Feature hashing for large scale multitask learning. In ICML 26, pp. 1113-1120. ACM, 2009.
-
(2009)
ICML
, vol.26
, pp. 1113-1120
-
-
Weinberger, K.Q.1
Dasgupta, A.2
Langford, J.3
Smola, A.4
Attenberg, J.5
-
26
-
-
57349129298
-
Topic-bridged PLSA for cross-domain text classication
-
Xue, G., Dai, W., Yang, Q., and Yu, Y Topic-bridged PLSA for cross-domain text classication. In SIGIR, 2008.
-
(2008)
SIGIR
-
-
Xue, G.1
Dai, W.2
Yang, Q.3
Yu, Y.4
|