-
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, 2007.
-
(2007)
NIPS
-
-
Ben-David, S.1
Blitzer, J.2
Crammer, K.3
Pereira, F.4
-
3
-
-
34547994328
-
Discriminative learning for differing training and test distributions
-
Bickel, S., Brückner, M., and Scheffer, T. Discriminative learning for differing training and test distributions. In Prof. of ICML, pp. 81-88, 2007.
-
(2007)
Prof. of ICML
, pp. 81-88
-
-
Bickel, S.1
Brückner, M.2
Scheffer, T.3
-
4
-
-
80053342456
-
Domain adaptation with structural correspondence learning
-
Association for Computational Linguistics
-
Blitzer, J., McDonald, R., and Pereira, F. Domain adaptation with structural correspondence learning. In Proc. of EMNLP, pp. 120-128. Association for Computational Linguistics, 2006.
-
(2006)
Proc. of EMNLP
, pp. 120-128
-
-
Blitzer, J.1
McDonald, R.2
Pereira, F.3
-
5
-
-
84860524227
-
Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
-
Blitzer, J., Dredze, M., and Pereira, F. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In Proc. of ACL, 2007.
-
Proc. of ACL, 2007
-
-
Blitzer, J.1
Dredze, M.2
Pereira, F.3
-
6
-
-
33749252873
-
-
MIT press Cambridge, MA
-
Chapelle, O., Schölkopf, B., Zien, A., et al. Semi-supervised learning, volume 2. MIT press Cambridge, MA:, 2006.
-
(2006)
Semi-supervised Learning
, vol.2
-
-
Chapelle, O.1
Schölkopf, B.2
Zien, A.3
-
7
-
-
33749028480
-
Domain adaptation for statistical classifiers
-
Daumé III, H. and Marcu, D. Domain adaptation for statistical classifiers. JAIR, 26:101-126, 2006.
-
(2006)
JAIR
, vol.26
, pp. 101-126
-
-
Daumé III, H.1
Marcu, D.2
-
8
-
-
77952375075
-
Information-theoretic co-clustering
-
Dhillon, I.S., Mallela, S., and Modha, D.S. Information-theoretic co-clustering. In Proc. of SIGKDD, 2003.
-
Proc. of SIGKDD, 2003
-
-
Dhillon, I.S.1
Mallela, S.2
Modha, D.S.3
-
10
-
-
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 Proc. of ICML, 2011.
-
Proc. of ICML, 2011
-
-
Glorot, X.1
Bordes, A.2
Bengio, Y.3
-
11
-
-
33745887620
-
Neighbourhood components analysis
-
Goldberger, J., Roweis, S., Hinton, G., and Salakhutdinov, R. Neighbourhood components analysis. NIPS, 2004.
-
(2004)
NIPS
-
-
Goldberger, J.1
Roweis, S.2
Hinton, G.3
Salakhutdinov, R.4
-
12
-
-
85161986160
-
Discriminative clustering by regularized information maximization
-
Gomes, R., Krause, A., and Perona, P. Discriminative clustering by regularized information maximization. In NIP, 2010.
-
(2010)
NIP
-
-
Gomes, R.1
Krause, A.2
Perona, P.3
-
13
-
-
84863396387
-
Domain adaptation for object recognition: An unsupervised approach
-
Gopalan, R., Li, R., and Chellappa, R. Domain adaptation for object recognition: An unsupervised approach. In Proc. of ICCV, 2011.
-
Proc. of ICCV, 2011
-
-
Gopalan, R.1
Li, R.2
Chellappa, R.3
-
14
-
-
84898928156
-
Semi-supervised learning by entropy minimization
-
Grandvalet, Y. and Bengio, Y. Semi-supervised learning by entropy minimization. NIPS, 17:529-236, 2005.
-
(2005)
NIPS
, vol.17
, pp. 529-1236
-
-
Grandvalet, Y.1
Bengio, Y.2
-
15
-
-
34948904828
-
-
Technical report, California Institute of Technology
-
Griffin, G., Holub, A., and Perona, P. Caltech-256 object category dataset. Technical report, California Institute of Technology, 2007.
-
(2007)
Caltech-256 Object Category Dataset
-
-
Griffin, G.1
Holub, A.2
Perona, P.3
-
17
-
-
84864031047
-
Correcting sample selection bias by unlabeled data
-
Huang, J., Smola, A.J., Gretton, A., Borgwardt, K.M., and Scholkopf, B. Correcting sample selection bias by unlabeled data. NIPS, 19:601, 2007.
-
(2007)
NIPS
, vol.19
, pp. 601
-
-
Huang, J.1
Smola, A.J.2
Gretton, A.3
Borgwardt, K.M.4
Scholkopf, B.5
-
18
-
-
80052895155
-
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
-
Kulis, B., Saenko, K., and Darrell, T. What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. In Proc. of CVPR, 2011.
-
Proc. of CVPR, 2011
-
-
Kulis, B.1
Saenko, K.2
Darrell, T.3
-
19
-
-
84898072330
-
Domain adaptation: Learning bounds and algorithms
-
Mansour, Y., Mohri, M., and Rostamizadeh, A. Domain adaptation: Learning bounds and algorithms. Proc. of COLT, 2009.
-
Proc. of COLT, 2009
-
-
Mansour, Y.1
Mohri, M.2
Rostamizadeh, A.3
-
20
-
-
77956031473
-
A survey on transfer learning
-
Pan, S.J. and Yang, Q. A survey on transfer learning. IEEE Trans. on Knowl. Engi., 22(10):1345-1359, 2010.
-
(2010)
IEEE Trans. on Knowl. Engi.
, vol.22
, Issue.10
, pp. 1345-1359
-
-
Pan, S.J.1
Yang, Q.2
-
21
-
-
79951681949
-
Domain adaptation via transfer component analysis
-
Pan, S.J., Tsang, I.W., Kwok, J.T., and Yang, Q. Domain adaptation via transfer component analysis. IEEE Trans. Neur. Nets., 22(2):199, 2011.
-
(2011)
IEEE Trans. Neur. Nets.
, vol.22
, Issue.2
, pp. 199
-
-
Pan, S.J.1
Tsang, I.W.2
Kwok, J.T.3
Yang, Q.4
-
23
-
-
84858390574
-
Unsupervised model adaptation using information-theoretic criterion
-
Rastrow, A., Jelinek, F., Sethy, A., and Ramabhadran, B. Unsupervised model adaptation using information-theoretic criterion. In Proc. HLT-NAACL, 2010.
-
Proc. HLT-NAACL, 2010
-
-
Rastrow, A.1
Jelinek, F.2
Sethy, A.3
Ramabhadran, B.4
-
24
-
-
80052906503
-
Adapting visual category models to new domains
-
Saenko, K., Kulis, B., Fritz, M., and Darrell, T. Adapting visual category models to new domains. In Proc. of ECCV, 2010.
-
Proc. of ECCV, 2010
-
-
Saenko, K.1
Kulis, B.2
Fritz, M.3
Darrell, T.4
-
25
-
-
0037527188
-
Improving predictive inference under covariate shift by weighting the log-likelihood function
-
Shimodaira, H. Improving predictive inference under covariate shift by weighting the log-likelihood function. J. of Stat. Plan. and Infer., 90(2):227-244, 2000.
-
(2000)
J. of Stat. Plan. and Infer.
, vol.90
, Issue.2
, pp. 227-244
-
-
Shimodaira, H.1
-
26
-
-
61749090884
-
Distance metric learning for large margin nearest neighbor classification
-
Weinberger, K.Q. and Saul, L.K. Distance metric learning for large margin nearest neighbor classification. JMLR, 10:207-244, 2009.
-
(2009)
JMLR
, vol.10
, pp. 207-244
-
-
Weinberger, K.Q.1
Saul, L.K.2
|