-
1
-
-
55149088329
-
Convex multi-task feature learning
-
December
-
Argyriou, A., Evgeniou, T., and Pontil, M. Convex multi-task feature learning. Mach. Learn., 73 (3):243–272, December 2008.
-
(2008)
Mach. Learn.
, vol.73
, Issue.3
, pp. 243-272
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.3
-
4
-
-
84860513476
-
Frustratingly easy domain adaptation
-
Daumé III, H. Frustratingly easy domain adaptation. In ACL, 2007.
-
(2007)
ACL
-
-
Daumé, H.1
-
5
-
-
84906513601
-
Large-scale object classification using label relation graphs
-
Deng, J., Ding, N., Jia, Y., Frome, A., Murphy, K., Bengio, S., Li, Y., Neven, H., and Adam, H. Large-scale object classification using label relation graphs. In ECCV, pp. 48–64, 2014.
-
(2014)
ECCV
, pp. 48-64
-
-
Deng, J.1
Ding, N.2
Jia, Y.3
Frome, A.4
Murphy, K.5
Bengio, S.6
Li, Y.7
Neven, H.8
Adam, H.9
-
6
-
-
84908192003
-
Latent low-rank transfer subspace learning for missing modality recognition
-
Ding, Z., Ming, S., and Fu, Y. Latent low-rank transfer subspace learning for missing modality recognition. In AAAI, pp. 1192–1198, 2014.
-
(2014)
AAAI
, pp. 1192-1198
-
-
Ding, Z.1
Ming, S.2
Fu, Y.3
-
7
-
-
84904482223
-
DeCAF: A deep convolutional activation feature for generic visual recognition
-
Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., and Darrell, T. Decaf: A deep convolutional activation feature for generic visual recognition. In ICML, 2015.
-
(2015)
ICML
-
-
Donahue, J.1
Jia, Y.2
Vinyals, O.3
Hoffman, J.4
Zhang, N.5
Tzeng, E.6
Darrell, T.7
-
8
-
-
78650226247
-
Multi-domain learning by confidence-weighted parameter combination
-
Dredze, M., Kulesza, A., and Crammer, K. Multi-domain learning by confidence-weighted parameter combination. Machine Learning, 79(1-2):123–149, 2010.
-
(2010)
Machine Learning
, vol.79
, Issue.1-2
, pp. 123-149
-
-
Dredze, M.1
Kulesza, A.2
Crammer, K.3
-
9
-
-
84866710696
-
Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach
-
Duan, L., Xu, D., and Chang, S.-F. Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach. In CVPR, 2012.
-
(2012)
CVPR
-
-
Duan, L.1
Xu, D.2
Chang, S.-F.3
-
10
-
-
12244250351
-
Regularized multi–task learning
-
Evgeniou, T. and Pontil, M. Regularized multi–task learning. In KDD, 2004.
-
(2004)
KDD
-
-
Evgeniou, T.1
Pontil, M.2
-
11
-
-
84898958665
-
Devise: A deep visual-semantic embedding model
-
Frome, A., Corrado, G., Shlens, J., Bengio, S., Dean, J., Ranzato, M., and Mikolov, T. Devise: A deep visual-semantic embedding model. In NIPS, 2013.
-
(2013)
NIPS
-
-
Frome, A.1
Corrado, G.2
Shlens, J.3
Bengio, S.4
Dean, J.5
Ranzato, M.6
Mikolov, T.7
-
12
-
-
84906482165
-
Transductive multi-view embedding for zero-shot recognition and annotation
-
Fu, Y., Hospedales, T., Xiang, T., Fu, Z., and Gong, S. Transductive multi-view embedding for zero-shot recognition and annotation. In ECCV, 2014.
-
(2014)
ECCV
-
-
Fu, Y.1
Hospedales, T.2
Xiang, T.3
Fu, Z.4
Gong, S.5
-
13
-
-
84866657270
-
Geodesic flow kernel for unsupervised domain adaptation
-
Gong, B., Shi, Y., Sha, F., and 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
-
14
-
-
84911399859
-
Continuous manifold based adaptation for evolving visual domains
-
Hoffman, J., Darrell, T., and Saenko, K. Continuous manifold based adaptation for evolving visual domains. In CVPR, 2014.
-
(2014)
CVPR
-
-
Hoffman, J.1
Darrell, T.2
Saenko, K.3
-
15
-
-
84913555165
-
-
arXiv preprint
-
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., and 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
-
16
-
-
84878113464
-
Multi-domain learning: When do domains matter?
-
Joshi, M., Dredze, M., Cohen, W. W., and Rosé, C. P. Multi-domain learning: When do domains matter? In EMNLP, 2012.
-
(2012)
EMNLP
-
-
Joshi, M.1
Dredze, M.2
Cohen, W.W.3
Rosé, C.P.4
-
17
-
-
80053435765
-
Learning with whom to share in multi-task feature learning
-
Kang, Z., Grauman, K., and Sha, F. Learning with whom to share in multi-task feature learning. In ICML, 2011. ISBN 978-1-4503-0619-5.
-
(2011)
ICML
-
-
Kang, Z.1
Grauman, K.2
Sha, F.3
-
18
-
-
84937847816
-
Multitask learning meets tensor factorization: Task imputation via convex optimization
-
Kishan Wimalawarne, M. S. and Tomioka, R. Multitask learning meets tensor factorization: task imputation via convex optimization. In NIPS, 2014.
-
(2014)
NIPS
-
-
Kishan Wimalawarne, M.S.1
Tomioka, R.2
-
20
-
-
84867114266
-
Learning task grouping and overlap in multi-task learning
-
Kumar, A. and Daumé III, H. Learning task grouping and overlap in multi-task learning. In ICML, 2012.
-
(2012)
ICML
-
-
Kumar, A.1
Daumé, H.2
-
21
-
-
70450172710
-
Learning to detect unseen object classes by between-class attribute transfer
-
Lampert, C. H., Nickisch, H., and Harmeling, S. Learning to detect unseen object classes by between-class attribute transfer. In CVPR, 2009.
-
(2009)
CVPR
-
-
Lampert, C.H.1
Nickisch, H.2
Harmeling, S.3
-
23
-
-
84905267530
-
The audio degradation toolbox and its application to robustness evaluation
-
Mauch, M. and Ewert, S. The audio degradation toolbox and its application to robustness evaluation. In ISMIR, 2013.
-
(2013)
ISMIR
-
-
Mauch, M.1
Ewert, S.2
-
24
-
-
80053456996
-
Zero-shot learning with semantic output codes
-
Palatucci, M., Pomerleau, D., Hinton, G., and Mitchell, T. Zero-shot learning with semantic output codes. In Neural Information Processing Systems (NIPS), 2009.
-
(2009)
Neural Information Processing Systems (NIPS)
-
-
Palatucci, M.1
Pomerleau, D.2
Hinton, G.3
Mitchell, T.4
-
25
-
-
84867135619
-
Flexible modeling of latent task structures in multitask learning
-
Passos, A., Rai, P., Wainer, J., and Daumé III, H. Flexible modeling of latent task structures in multitask learning. In ICML, 2012.
-
(2012)
ICML
-
-
Passos, A.1
Rai, P.2
Wainer, J.3
Daumé, H.4
-
26
-
-
84898409800
-
Domain adaptive dictionary learning
-
Qiu, Q., Patel, V. M., Turaga, P., and Chellappa, R. Domain adaptive dictionary learning. In ECCV, 2012. ISBN 978-3-642-33764-2.
-
(2012)
ECCV
-
-
Qiu, Q.1
Patel, V.M.2
Turaga, P.3
Chellappa, R.4
-
27
-
-
84897507982
-
Multilinear multitask learning
-
Romera-paredes, B., Aung, H., Bianchi-berthouze, N., and Pontil, M. Multilinear multitask learning. In ICML, 2013.
-
(2013)
ICML
-
-
Romera-Paredes, B.1
Aung, H.2
Bianchi-Berthouze, N.3
Pontil, M.4
-
28
-
-
34547973978
-
To transfer or not to transfer
-
Rosenstein, M. T., Marx, Z., Kaelbling, L. P., and Dietterich, T. G. To transfer or not to transfer. In In NIPS05 Workshop, Inductive Transfer: 10 Years Later, 2005.
-
(2005)
NIPS05 Workshop, Inductive Transfer: 10 Years Later
-
-
Rosenstein, M.T.1
Marx, Z.2
Kaelbling, L.P.3
Dietterich, T.G.4
-
29
-
-
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 ECCV, 2010.
-
(2010)
ECCV
-
-
Saenko, K.1
Kulis, B.2
Fritz, M.3
Darrell, T.4
-
30
-
-
84898938559
-
Zero-shot learning through cross-modal transfer
-
Socher, R., Ganjoo, M., Manning, C. D., and Ng, A. Y. Zero-shot learning through cross-modal transfer. In NIPS, pp. 935–943, 2013.
-
(2013)
NIPS
, pp. 935-943
-
-
Socher, R.1
Ganjoo, M.2
Manning, C.D.3
Ng, A.Y.4
-
31
-
-
85031103438
-
From virtual to reality: Fast adaptation of virtual object detectors to real domains
-
Sun, B. and 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
-
32
-
-
80052908300
-
Unbiased look at dataset bias
-
Torralba, A. and Efros, A. A. Unbiased look at dataset bias. In CVPR, 2011.
-
(2011)
CVPR
-
-
Torralba, A.1
Efros, A.A.2
-
34
-
-
84952010160
-
Effects of relevant contextual features in the performance of a restaurant recommender system
-
Vargas-Govea, B., González-Serna, G., and Ponce-Medellın, R. Effects of relevant contextual features in the performance of a restaurant recommender system. ACM RecSys, 11, 2011.
-
(2011)
ACM RecSys
, vol.11
-
-
Vargas-Govea, B.1
González-Serna, G.2
Ponce-Medellın, R.3
-
35
-
-
33846487387
-
Multi-task learning for classification with dirichlet process priors
-
Xue, Y., Liao, X., Carin, L., and Krishnapuram, B. Multi-task learning for classification with dirichlet process priors. Journal of Machine Learning Research, 8:35–63, 2007.
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 35-63
-
-
Xue, Y.1
Liao, X.2
Carin, L.3
Krishnapuram, B.4
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