-
1
-
-
84902256759
-
DLID: Deep learning for domain adaptation by interpolating between domains
-
Chopra, S., Balakrishnan, S., Gopalan, R.: DLID: deep learning for domain adaptation by interpolating between domains. In: ICML Workshop (2013)
-
(2013)
ICML Workshop
-
-
Chopra, S.1
Balakrishnan, S.2
Gopalan, R.3
-
2
-
-
72249100259
-
ImageNet: A large-scale hierarchical image database
-
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database. In: CVPR (2009)
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.J.4
Li, K.5
Fei-Fei, L.6
-
3
-
-
84919881041
-
Decaf: A deep convolutional activation feature for generic visual recognition
-
Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., Darrell, T.: Decaf: a deep convolutional activation feature for generic visual recognition. In: ICML (2014)
-
(2014)
ICML
-
-
Donahue, J.1
Jia, Y.2
Vinyals, O.3
Hoffman, J.4
Zhang, N.5
Tzeng, E.6
Darrell, T.7
-
4
-
-
84898798531
-
Unsupervised visual domain adaptation using subspace alignment
-
Fernando, B., Habrard, A., Sebban, M., Tuytelaars, T.: Unsupervised visual domain adaptation using subspace alignment. In: ICCV (2013)
-
(2013)
ICCV
-
-
Fernando, B.1
Habrard, A.2
Sebban, M.3
Tuytelaars, T.4
-
5
-
-
84969802531
-
Unsupervised domain adaptation by backpropagation
-
Ganin, Y., Lempitsky, V.: Unsupervised domain adaptation by backpropagation. In: ICML (2015)
-
(2015)
ICML
-
-
Ganin, Y.1
Lempitsky, V.2
-
6
-
-
84866657270
-
Geodesic flow kernel for unsupervised domain adaptation
-
Gong, B., Shi, Y., Sha, F., Grauman, K.: Geodesic flow kernel for unsupervised domain adaptation. In: CVPR (2012)
-
(2012)
CVPR
-
-
Gong, B.1
Shi, Y.2
Sha, F.3
Grauman, K.4
-
7
-
-
84863396387
-
Domain adaptation for object recognition: An unsupervised approach
-
Gopalan, R., Li, R., Chellappa, R.: Domain adaptation for object recognition: an unsupervised approach. In: ICCV (2011)
-
(2011)
ICCV
-
-
Gopalan, R.1
Li, R.2
Chellappa, R.3
-
8
-
-
80053439042
-
Learning from multiple outlooks
-
Harel, M., Mannor, S.: Learning from multiple outlooks. In: ICML (2011)
-
(2011)
ICML
-
-
Harel, M.1
Mannor, S.2
-
9
-
-
85151274557
-
Correcting sample selection bias by unlabeled data
-
Huang, J., Smola, A.J., Gretton, A., Borgwardt, K.M., Schölkopf, B.: Correcting sample selection bias by unlabeled data. In: NIPS (2006)
-
(2006)
NIPS
-
-
Huang, J.1
Smola, A.J.2
Gretton, A.3
Borgwardt, K.M.4
Schölkopf, B.5
-
10
-
-
85006018742
-
-
arXiv preprint arXiv:1408.5093
-
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: Caffe: convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093 (2014)
-
(2014)
Caffe: Convolutional Architecture for Fast Feature Embedding
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
11
-
-
84860538689
-
Instance weighting for domain adaptation in NLP
-
Jiang, J., Zhai, C.: Instance weighting for domain adaptation in NLP. In: ACL (2007)
-
(2007)
ACL
-
-
Jiang, J.1
Zhai, C.2
-
12
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: NIPS (2012)
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
13
-
-
84969549144
-
Learning transferable features with deep adaptation networks
-
Long, M., Cao, Y., Wang, J., Jordan, M.I.: Learning transferable features with deep adaptation networks. In: ICML (2015)
-
(2015)
ICML
-
-
Long, M.1
Cao, Y.2
Wang, J.3
Jordan, M.I.4
-
14
-
-
78751696249
-
Domain adaptation via transfer component analysis
-
Pan, S.J., Tsang, I.W., Kwok, J.T., Yang, Q.: Domain adaptation via transfer component analysis. In: IJCAI (2009)
-
(2009)
IJCAI
-
-
Pan, S.J.1
Tsang, I.W.2
Kwok, J.T.3
Yang, Q.4
-
15
-
-
84973922826
-
Learning deep object detectors from 3D models
-
Peng, X., Sun, B., Ali, K., Saenko, K.: Learning deep object detectors from 3D models. In: ICCV (2015)
-
(2015)
ICCV
-
-
Peng, X.1
Sun, B.2
Ali, K.3
Saenko, K.4
-
16
-
-
85005985056
-
What do deep CNNs learn about objects?
-
Peng, X., Sun, B., Ali, K., Saenko, K.: What do deep CNNs learn about objects? In: ICLR Workshop Track (2015)
-
(2015)
ICLR Workshop Track
-
-
Peng, X.1
Sun, B.2
Ali, K.3
Saenko, K.4
-
17
-
-
78149318752
-
Adapting visual category models to new domains
-
Daniilidis, K., Maragos, P., Paragios, N. (eds.), Springer, Heidelberg
-
Saenko, K., Kulis, B., Fritz, M., Darrell, T.: Adapting visual category models to new domains. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6316, pp. 213-226. Springer, Heidelberg (2010). doi:10.1007/ 978-3-642-15561-1_16
-
(2010)
ECCV 2010. LNCS
, vol.6316
, pp. 213-226
-
-
Saenko, K.1
Kulis, B.2
Fritz, M.3
Darrell, T.4
-
18
-
-
84990048974
-
Return of frustratingly easy domain adaptation
-
Sun, B., Feng, J., Saenko, K.: Return of frustratingly easy domain adaptation. In: AAAI (2016)
-
(2016)
AAAI
-
-
Sun, B.1
Feng, J.2
Saenko, K.3
-
20
-
-
85031103438
-
From virtual to reality: Fast adaptation of virtual object detectors to real domains
-
Sun, B., Saenko, K.: From virtual to reality: fast adaptation of virtual object detectors to real domains. In: BMVC (2014)
-
(2014)
BMVC
-
-
Sun, B.1
Saenko, K.2
-
21
-
-
84962005349
-
Subspace distribution alignment for unsupervised domain adaptation
-
Sun, B., Saenko, K.: Subspace distribution alignment for unsupervised domain adaptation. In: BMVC (2015)
-
(2015)
BMVC
-
-
Sun, B.1
Saenko, K.2
-
22
-
-
84973897613
-
Simultaneous deep transfer across domains and tasks
-
Tzeng, E., Hoffman, J., Darrell, T., Saenko, K.: Simultaneous deep transfer across domains and tasks. In: International Conference in Computer Vision (ICCV) (2015)
-
(2015)
International Conference in Computer Vision (ICCV)
-
-
Tzeng, E.1
Hoffman, J.2
Darrell, T.3
Saenko, K.4
-
23
-
-
84969568676
-
-
CoRR abs/1412.3474
-
Tzeng, E., Hoffman, J., Zhang, N., Saenko, K., Darrell, T.: Deep domain confusion: maximizing for domain invariance. CoRR abs/1412.3474 (2014). http://arxiv.org/abs/1412.3474
-
(2014)
Deep Domain Confusion: Maximizing for Domain Invariance
-
-
Tzeng, E.1
Hoffman, J.2
Zhang, N.3
Saenko, K.4
Darrell, T.5
|